Deck 8: Hypothesis Testing With Two Samples

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Question
Find the standardized test statistic to test the claim that μ1<μ2\mu _ { 1 } < \mu _ { 2 } Assume the two samples are random and independent.
Population statistics: σ1=2.9 and σ2=2.8\sigma _ { 1 } = 2.9 \text { and } \sigma _ { 2 } = 2.8 Sample statisticsstatistics: x1=20.16,n1=35 and x2=22.71,n2=42\overline { \mathrm { x } } 1 = 20.16 , \mathrm { n } _ { 1 } = 35 \text { and } \overline { \mathrm { x } } 2 = 22.71 , \mathrm { n } _ { 2 } = 42

A)-3.90
B)-3.16
C)-2.63
D)-1.66
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Question
Suppose you want to test the claim that μ1>μ2\mu _ { 1 } > \mu _ { 2 } Assume the two samples are random and independent. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?

A)There is sufficient evidence to support the claim μ μ1>μ2\mu _ { 1 } > \mu _ { 2 }
B)There is sufficient evidence to reject the claim μ μ1>μ2\mu _ { 1 } > \mu _ { 2 }
C)There is not sufficient evidence to reject the claim μ μ1>μ2\mu _ { 1 } > \mu _ { 2 }
D)There is not sufficient evidence to support the claim μ μ1>μ2\mu _ { 1 } > \mu _ { 2 }
Question
Classify the two given samples as independent or dependent. Sample 1: The scores of 22 students who took the ACT
Sample 2: The scores of 22 different students who took the SAT

A)independent
B)dependent
Question
Classify the two given samples as independent or dependent. Sample 1: The weights in pounds of 21 newborn females
Sample 2: The weights in pounds of 21 newborn males

A)independent
B)dependent
Question
Suppose you want to test the claim that μ1μ2\mu _ { 1 } \neq \mu _ { 2 } Assume the two samples are random and independent. At a level of significance of α = 0.02, when should you reject H₀?
Population statistics: σ1=0.76 and σ2=0.51\sigma _ { 1 } = 0.76 \text { and } \sigma _ { 2 } = 0.51 Sample statisticsstatistics: x1=1.8,n1=51 and x2=2.2,n2=38\overline { \mathrm { x } } 1 = 1.8 , \mathrm { n } _ { 1 } = 51 \text { and } \overline { \mathrm { x } } 2 = 2.2 , \mathrm { n } _ { 2 } = 38

A)Reject H₀ if the standardized test statistic is less than -2.33 or greater than 2.33.
B)Reject H₀ if the standardized test statistic is less than -1.96 or greater than 1.96.
C)Reject H₀ if the standardized test statistic is less than -1.645 or greater than 1.645.
D)Reject H₀ if the standardized test statistic is less than -2.575 or greater than 2.575.
Question
Find the standardized test statistic to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Assume the two samples are random and independent.
Population statistics: σ1=1.5 and σ2=1.9\sigma _ { 1 } = 1.5 \text { and } \sigma _ { 2 } = 1.9 Sample statisticsstatistics: xˉ1=24,n1=50 and xˉ2=22,n2=60\bar { x }_ 1 = 24 , \mathrm { n } _ { 1 } = 50 \text { and } \bar { x }_ 2 = 22 , n _ { 2 } = 60

A)6.2
B)8.1
C)4.2
D)3.8
Question
As part of a Masterʹs thesis project, a mathematics teacher is interested in the effects of two different teaching methods on mathematics achievement. She randomly chooses one class of students to learn an algebraic
Concept using traditional methods and another class of students to learn the same algebraic concept using
Manipulatives. The teacher then compares their test scores. Determine whether the samples are dependent or
Independent.

A)independent
B)dependent
Question
Suppose you want to test the claim that μ1>μ2\mu _ { 1 } > \mu _ { 2 } AssumAssume the two samples are random and independent. At a level of significance of α = 0.01, when should you reject H₀?
Population statistics: σ1=45 and σ2=25\sigma _ { 1 } = 45 \text { and } \sigma _ { 2 } = 25 Sample statistics: x1=805,n1=100 and x2=790,n2=125\overline { \mathrm { x } } 1 = 805 , \mathrm { n } _ { 1 } = 100 \text { and } \overline { \mathrm { x } } 2 = 790 , \mathrm { n } _ { 2 } = 125

A)Reject H₀ if the standardized test statistic is greater than 2.33.
B)Reject H₀ if the standardized test statistic is greater than 1.96.
C)Reject H₀ if the standardized test statistic is greater than 1.645.
D)Reject H₀ if the standardized test statistic is greater than 2.575.
Question
Find the standardized test statistic to test the claim that μ1=μ2\mu _ { 1 } = \mu _ { 2 } . Assume the two samples are random and independent.
Population statistics: σ1=2.5 and σ2=2.8\sigma _ { 1 } = 2.5 \text { and } \sigma _ { 2 } = 2.8 Sample statistics: x1=3,n1=40 and x2=4,n2=35\overline { \mathrm { x } } 1 = 3 , \mathrm { n } _ { 1 } = 40 \text { and } \overline { \mathrm { x } } 2 = 4 , \mathrm { n } _ { 2 } = 35

A)-1.6
B)-0.8
C)-2.6
D)-1.0
Question
Find the standardized test statistic to test the claim that μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } . Assume the two samples are random and independent.
Population statistics: σ1=0.76 and σ2=0.51\sigma _ { 1 } = 0.76 \text { and } \sigma _ { 2 } = 0.51 Sample statistics: x1=4.1,n1=51 and x2=4.5,n2=38\overline { \mathrm { x } } 1 = 4.1 , \mathrm { n } _ { 1 } = 51 \text { and } \overline { \mathrm { x } } 2 = 4.5 , \mathrm { n } _ { 2 } = 38

A)-2.97
B)-1.82
C)-2.12
D)-2.32
Question
Suppose you want to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Assume the two samples are random and independent. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?

A)There is sufficient evidence to reject the claim μ μ1=μ2.\mu _ { 1 } = \mu _ { 2 } .
B)There is not sufficient evidence to reject the claim μ μ1=μ2.\mu _ { 1 } = \mu _ { 2 } .
C)There is sufficient evidence to support the claim μ μ1=μ2\mu _ { 1 } = \mu _ { 2 }
D)There is not sufficient evidence to support the claim μ μ1=μ2\mu _ { 1 } = \mu _ { 2 }
Question
Suppose you want to test the claim that μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } . Assume the two samples are random and independent. At a level of significance of α α\alpha = 0.05, when should you reject H₀?
Population statistics: σ1=1.5 and σ2=1.9\sigma _ { 1 } = 1.5 \text { and } \sigma _ { 2 } = 1.9 Sample statistics: x1=19,n1=50 and x2=17,n2=60\overline { \mathrm { x } } 1 = 19 , \mathrm { n } _ { 1 } = 50 \text { and } \overline { \mathrm { x } } 2 = 17 , \mathrm { n } _ { 2 } = 60

A)Reject H₀ if the standardized test statistic is less than -1.96 or greater than 1.96.
B)Reject H₀ if the standardized test statistic is less than -2.33 or greater than 2.33.
C)Reject H₀ if the standardized test statistic is less than -1.645 or greater than 1.645.
D)Reject H₀ if the standardized test statistic is less than -2.575 or greater than 2.575.
Question
Test the claim that Test the claim that   Assume the two samples are random and independent. Use   = 0.05. Population statistics:   Sample statisticsstatistics:  <div style=padding-top: 35px> Assume the two samples are random and independent. Use Test the claim that   Assume the two samples are random and independent. Use   = 0.05. Population statistics:   Sample statisticsstatistics:  <div style=padding-top: 35px> = 0.05.
Population statistics: Test the claim that   Assume the two samples are random and independent. Use   = 0.05. Population statistics:   Sample statisticsstatistics:  <div style=padding-top: 35px> Sample statisticsstatistics: Test the claim that   Assume the two samples are random and independent. Use   = 0.05. Population statistics:   Sample statisticsstatistics:  <div style=padding-top: 35px>
Question
Classify the two given samples as independent or dependent. Sample 1: Pre-training weights of 18 people
Sample 2: Post-training weights of 18 people

A)dependent
B)independent
Question
Suppose you want to test the claim that μ1<μ2\mu _ { 1 } < \mu _ { 2 } Assume the two samples are random and independent. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis?

A)There is not sufficient evidence to support the claim μ μ1<μ2\mu _ { 1 } < \mu _ { 2 }
B)There is sufficient evidence to reject the claim μ μ1<μ2.\mu _ { 1 } < \mu _ { 2 } .
C)There is not sufficient evidence to reject the claim μ μ1<μ2\mu _ { 1 } < \mu _ { 2 } .
D)There is sufficient evidence to support the claim μ μ1<μ2\mu _ { 1 } < \mu _ { 2 }
Question
As part of a marketing experiment, a department store regularly mailed discount coupons to 25 of its credit card holders. Their total credit card purchases over the next three months were compared to their prior credit
Card purchases during the previous three months. Determine whether the samples are dependent or
Independent.

A)dependent
B)independent
Question
Suppose you want to test the claim that μ1<μ2\mu _ { 1 } < \mu _ { 2 } Assume the two samples are random and independent. At a level of significance of α α\alpha = 0.05, when should you reject H₀?
Population statistics: σ1=2.9 and σ2=2.8\sigma _ { 1 } = 2.9 \text { and } \sigma _ { 2 } = 2.8 Sample statistics: x1=28.85,n1=35 and x2=31.4,n2=42\overline { \mathrm { x } } 1 = 28.85 , \mathrm { n } _ { 1 } = 35 \text { and } \overline { \mathrm { x } } 2 = 31.4 , \mathrm { n } _ { 2 } = 42

A)Reject H₀ if the standardized test statistic is less than -1.645.
B)Reject H₀ if the standardized test statistic is less than -1.96.
C)Reject H₀ if the standardized test statistic is less than -2.33.
D)Reject H₀ if the standardized test statistic is less than -2.575.
Question
Find the standardized test statistic to test the claim that μ1>μ2.\mu _ { 1 } > \mu _ { 2 } . Assume the two samples are random and independent.
Population statistics: σ1=45 and σ2=25\sigma _ { 1 } = 45 \text { and } \sigma _ { 2 } = 25 Sample statistics: xˉ1=480,n1=100 and xˉ2=465,n2=125\bar { x } 1 = 480 , n _ { 1 } = 100 \text { and } \bar { x } { 2 } = 465 , n _ { 2 } = 125

A)2.99
B)2.81
C)1.86
D)0.91
Question
As part of a marketing experiment, a department store regularly mailed discount coupons to 25 of its credit card holders. Their total credit card purchases over the next three months were compared to the credit card
Purchases over the next three months for 25 credit card holders who were not sent discount coupons.
Determine whether the samples are dependent or independent.

A)independent
B)dependent
Question
As part of a Masterʹs thesis project, a mathematics teacher is interested in the effects of two different teaching methods on mathematics achievement. She randomly chooses a class of students to learn one algebraic concept
Using traditional methods. Then on another day, the same students learn a similar algebraic concept using
Manipulatives. The teacher then compares their test scores. Determine whether the samples are dependent or
Independent.

A)dependent
B)independent
Question
Test the claim that Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statisticsstatistics:  <div style=padding-top: 35px> Assume the two samples are random and independent. Use Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statisticsstatistics:  <div style=padding-top: 35px> Population statistics: Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statisticsstatistics:  <div style=padding-top: 35px> Sample statisticsstatistics: Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statisticsstatistics:  <div style=padding-top: 35px>
Question
A recent study of 100 elementary school teachers in a southern state found that their mean salary was $24,700
with a population standard deviation of $2100. A similar study of 100 elementary school teachers in a western
state found that their mean salary was $35,100 with a population standard deviation of $3200. Test the claim
that the salaries of elementary school teachers in the western state is more than $10,000 greater than that of
elementary teachers in the southern state. Use A recent study of 100 elementary school teachers in a southern state found that their mean salary was $24,700 with a population standard deviation of $2100. A similar study of 100 elementary school teachers in a western state found that their mean salary was $35,100 with a population standard deviation of $3200. Test the claim that the salaries of elementary school teachers in the western state is more than $10,000 greater than that of elementary teachers in the southern state. Use   = 0.05. Assume the two samples are random and independent.<div style=padding-top: 35px> = 0.05. Assume the two samples are random and independent.
Question
At α At α   = 0.05, test a financial advisorʹs claim that the difference between the mean dividend rate for listings in the NYSE market and the mean dividend rate for listings in the NASDAQ market is more than 0.75. Assume the two samples are random and independent.    <div style=padding-top: 35px> = 0.05, test a financial advisorʹs claim that the difference between the mean dividend rate for listings in the
NYSE market and the mean dividend rate for listings in the NASDAQ market is more than 0.75. Assume the
two samples are random and independent. At α   = 0.05, test a financial advisorʹs claim that the difference between the mean dividend rate for listings in the NYSE market and the mean dividend rate for listings in the NASDAQ market is more than 0.75. Assume the two samples are random and independent.    <div style=padding-top: 35px> At α   = 0.05, test a financial advisorʹs claim that the difference between the mean dividend rate for listings in the NYSE market and the mean dividend rate for listings in the NASDAQ market is more than 0.75. Assume the two samples are random and independent.    <div style=padding-top: 35px>
Question
Suppose you want to test the claim that μ1μ2\mu _ { 1 } \neq \mu _ { 2 } Assume the two samples are random and independent. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis?

A)There is not sufficient evidence to support the claim μ μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } .
B)There is sufficient evidence to reject the claim μ μ1μ2\mu _ { 1 } \neq \mu _ { 2 }
C)There is not sufficient evidence to reject the claim μ μ1μ2\mu _ { 1 } \neq \mu _ { 2 }
D)There is sufficient evidence to support the claim μ μ1μ2\mu _ { 1 } \neq \mu _ { 2 }
Question
A financial advisor wants to know whether there is a significant difference between the NYSE and NASDAQ
markets in the annual dividend rates for preferred stocks. A sample of 30 returns is selected from each market.
Assume the two samples are random and independent. Test the claim that there is no difference in the annual
dividend rates for the two markets. Use A financial advisor wants to know whether there is a significant difference between the NYSE and NASDAQ markets in the annual dividend rates for preferred stocks. A sample of 30 returns is selected from each market. Assume the two samples are random and independent. Test the claim that there is no difference in the annual dividend rates for the two markets. Use   = 0.05.    <div style=padding-top: 35px> = 0.05. A financial advisor wants to know whether there is a significant difference between the NYSE and NASDAQ markets in the annual dividend rates for preferred stocks. A sample of 30 returns is selected from each market. Assume the two samples are random and independent. Test the claim that there is no difference in the annual dividend rates for the two markets. Use   = 0.05.    <div style=padding-top: 35px> A financial advisor wants to know whether there is a significant difference between the NYSE and NASDAQ markets in the annual dividend rates for preferred stocks. A sample of 30 returns is selected from each market. Assume the two samples are random and independent. Test the claim that there is no difference in the annual dividend rates for the two markets. Use   = 0.05.    <div style=padding-top: 35px>
Question
Two groups of patients with colorectal cancer are treated with a different drug to reduce pain. A random
sample of 140 patients are treated using the drug Irinotican and a random sample of 127 patients are treated
using the drug Fluorouracil. Assume the two samples are random and independent. At α Two groups of patients with colorectal cancer are treated with a different drug to reduce pain. A random sample of 140 patients are treated using the drug Irinotican and a random sample of 127 patients are treated using the drug Fluorouracil. Assume the two samples are random and independent. At α   = 0.01, test a pharmaceutical representativeʹs claim that the difference between the mean number of pain-free months for patients using Fluorouracil and the mean number of pain-free months for patients using Irinotican is less than two months.    <div style=padding-top: 35px> = 0.01, test a
pharmaceutical representativeʹs claim that the difference between the mean number of pain-free months for
patients using Fluorouracil and the mean number of pain-free months for patients using Irinotican is less than
two months. Two groups of patients with colorectal cancer are treated with a different drug to reduce pain. A random sample of 140 patients are treated using the drug Irinotican and a random sample of 127 patients are treated using the drug Fluorouracil. Assume the two samples are random and independent. At α   = 0.01, test a pharmaceutical representativeʹs claim that the difference between the mean number of pain-free months for patients using Fluorouracil and the mean number of pain-free months for patients using Irinotican is less than two months.    <div style=padding-top: 35px> Two groups of patients with colorectal cancer are treated with a different drug to reduce pain. A random sample of 140 patients are treated using the drug Irinotican and a random sample of 127 patients are treated using the drug Fluorouracil. Assume the two samples are random and independent. At α   = 0.01, test a pharmaceutical representativeʹs claim that the difference between the mean number of pain-free months for patients using Fluorouracil and the mean number of pain-free months for patients using Irinotican is less than two months.    <div style=padding-top: 35px>
Question
A medical researcher suspects that the pulse rate of smokers is higher than the pulse rate of non-smokers. Test
the researcherʹs suspicion using α A medical researcher suspects that the pulse rate of smokers is higher than the pulse rate of non-smokers. Test the researcherʹs suspicion using α   = 0.05. Assume the two samples are random and independent.  <div style=padding-top: 35px> = 0.05. Assume the two samples are random and independent. A medical researcher suspects that the pulse rate of smokers is higher than the pulse rate of non-smokers. Test the researcherʹs suspicion using α   = 0.05. Assume the two samples are random and independent.  <div style=padding-top: 35px>
Question
A statistics teacher believes that students in an evening statistics class score higher than the students in a day
class. The results of a special exam are shown below. Assume the two samples are random and independent.
Can the teacher conclude that the evening students have a higher score? Use A statistics teacher believes that students in an evening statistics class score higher than the students in a day class. The results of a special exam are shown below. Assume the two samples are random and independent. Can the teacher conclude that the evening students have a higher score? Use    <div style=padding-top: 35px> A statistics teacher believes that students in an evening statistics class score higher than the students in a day class. The results of a special exam are shown below. Assume the two samples are random and independent. Can the teacher conclude that the evening students have a higher score? Use    <div style=padding-top: 35px>
Question
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor
bank checks the waiting times at both banks. Use P-values to test the local bankʹs claim. Use A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Use P-values to test the local bankʹs claim. Use   = 0.05. Assume the two samples are random and independent.  <div style=padding-top: 35px> = 0.05. Assume
the two samples are random and independent. A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Use P-values to test the local bankʹs claim. Use   = 0.05. Assume the two samples are random and independent.  <div style=padding-top: 35px>
Question
Test the claim that Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  <div style=padding-top: 35px> Assume the two samples are random and independent. Use Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  <div style=padding-top: 35px> Population statistics: Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  <div style=padding-top: 35px> Sample statistics: Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  <div style=padding-top: 35px>
Question
Two samples are random and independent. Find the P-value used to test the claim that μ1>μ2. Use α=0.05\mu _ { 1 } > \mu _ { 2 } . \text { Use } \alpha = 0.05 \text {. } Population statistics: σ1=40 and σ2=24\sigma _ { 1 } = 40 \text { and } \sigma _ { 2 } = 24 Sample statistics: x1=615,n1=100 and xˉ2=600,n2=125\overline { \mathrm { x } } 1 = 615 , \mathrm { n } _ { 1 } = 100 \text { and } \bar { x } _ { 2 } = 600 , \mathrm { n } _ { 2 } = 125

A)0.0005
B)0.0505
C)0.1015
D)0.5105
Question
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor
bank checks the waiting times at both banks. Assume the two samples are random and independent. Use A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Assume the two samples are random and independent. Use   α = 0.05 and a confidence interval to test the local bankʹs claim.    <div style=padding-top: 35px> α = 0.05 and a confidence interval to test the local bankʹs claim. A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Assume the two samples are random and independent. Use   α = 0.05 and a confidence interval to test the local bankʹs claim.    <div style=padding-top: 35px> A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Assume the two samples are random and independent. Use   α = 0.05 and a confidence interval to test the local bankʹs claim.    <div style=padding-top: 35px>
Question
Two samples are random and independent. Find the P-value used to test the claim that μ1=μ2. Use α=0.05\mu _ { 1 } = \mu _ { 2 } \text {. Use } \alpha = 0.05 \text {. } Population statistics: σ1=2.5 and σ2=2.8\sigma _ { 1 } = 2.5 \text { and } \sigma _ { 2 } = 2.8 Sample statisticsstatistics: x1=12,n1=40 and x2=13,n2=35\overline { \mathrm { x } } 1 = 12 , \mathrm { n } _ { 1 } = 40 \text { and } \overline { \mathrm { x } } 2 = 13 , \mathrm { n } _ { 2 } = 35

A)0.1052
B)0.0526
C)0.4020
D)0.1138
Question
A study was conducted to determine if the salaries of elementary school teachers from two neighboring states
were equal. A sample of 100 teachers from each state was randomly selected. The mean from the first state was
$29,100 with a population standard deviation of $2300. The mean from the second state was $30,500 with a
population standard deviation of $2100. Test the claim that the salaries from both states are equal. Use A study was conducted to determine if the salaries of elementary school teachers from two neighboring states were equal. A sample of 100 teachers from each state was randomly selected. The mean from the first state was $29,100 with a population standard deviation of $2300. The mean from the second state was $30,500 with a population standard deviation of $2100. Test the claim that the salaries from both states are equal. Use  <div style=padding-top: 35px>
Question
A statistics teacher wanted to see whether there was a significant difference in ages between day students and
night students. A sample of 35 students is selected from each group. The data are given below. Assume the two
samples are random and independent. Test the claim that there is no difference in age between the two groups.
Use α A statistics teacher wanted to see whether there was a significant difference in ages between day students and night students. A sample of 35 students is selected from each group. The data are given below. Assume the two samples are random and independent. Test the claim that there is no difference in age between the two groups. Use α   Day Students   Evening Students  <div style=padding-top: 35px> Day Students A statistics teacher wanted to see whether there was a significant difference in ages between day students and night students. A sample of 35 students is selected from each group. The data are given below. Assume the two samples are random and independent. Test the claim that there is no difference in age between the two groups. Use α   Day Students   Evening Students  <div style=padding-top: 35px> Evening Students A statistics teacher wanted to see whether there was a significant difference in ages between day students and night students. A sample of 35 students is selected from each group. The data are given below. Assume the two samples are random and independent. Test the claim that there is no difference in age between the two groups. Use α   Day Students   Evening Students  <div style=padding-top: 35px>
Question
Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Assume the two samples are random and independent. The sample statistics are given below.
Population statistics: σ1=1.5 and σ2=1.9\sigma _ { 1 } = 1.5 \text { and } \sigma _ { 2 } = 1.9 Sample statistics: x1=25,n1=50 and x2=23,n2=60\overline { \mathrm { x } } 1 = 25 , \mathrm { n } _ { 1 } = 50 \text { and } \overline { \mathrm { x } } 2 = 23 , \mathrm { n } _ { 2 } = 60

A)(1.364, 2.636)
B)(1.572, 2.987)
C)(1.723, 3.012)
D)(1.919, 3.142)
Question
Test the claim thathat Test the claim thathat   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  <div style=padding-top: 35px> Assume the two samples are random and independent. Use Test the claim thathat   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  <div style=padding-top: 35px> Population statistics: Test the claim thathat   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  <div style=padding-top: 35px> Sample statistics: Test the claim thathat   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  <div style=padding-top: 35px>
Question
At a local college, 65 female students were randomly selected and it was found that their mean monthly income
was $616 with a population standard deviation of $121.50. Seventy-five male students were also randomly
selected and their mean monthly income was found to be $658 with a population standard deviation of $168.70.
Test the claim that male students have a higher monthly income than female students. Use At a local college, 65 female students were randomly selected and it was found that their mean monthly income was $616 with a population standard deviation of $121.50. Seventy-five male students were also randomly selected and their mean monthly income was found to be $658 with a population standard deviation of $168.70. Test the claim that male students have a higher monthly income than female students. Use  <div style=padding-top: 35px>
Question
Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Assume the two samples are random and independent. The sample statistics are given below.
Population statistics: σ1=2.5 and σ2=2.8\sigma _ { 1 } = 2.5 \text { and } \sigma _ { 2 } = 2.8 Sample statistics: x1=12,n1=40 and x2=13,n2=35\overline { \mathrm { x } } 1 = 12 , \mathrm { n } _ { 1 } = 40 \text { and } \overline { \mathrm { x } } 2 = 13 , \mathrm { n } _ { 2 } = 35

A)(-2.209, 0.209)
B)(-2.001, -1.873)
C)(-1.968, 1.561)
D)(-1.673, 1.892)
Question
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor
bank checks the waiting times at both banks. Test the local bankʹs claim using α A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Test the local bankʹs claim using α   = 0.05. Assume the two samples are random and independent.  <div style=padding-top: 35px> = 0.05. Assume the two
samples are random and independent. A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Test the local bankʹs claim using α   = 0.05. Assume the two samples are random and independent.  <div style=padding-top: 35px>
Question
Suppose you want to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } At a
Level of significance of α α=0.05\alpha = 0.05 when should you reject H₀? n1=14n2=12x1=21x2=22 s1=2.5 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 14 & \mathrm { n } _ { 2 } = 12 \\\overline { \mathrm { x } } _ { 1 } = 21 & \overline { \mathrm { x } _ { 2 }} = 22 \\\mathrm {~s} _ { 1 } = 2.5 & \mathrm {~s} _ { 2 } = 2.8\end{array}

A)Reject H₀ if the standardized test statistic is less than -2.064 or greater than 2.064.
B)Reject H₀ if the standardized test statistic is less than -2.492 or greater than 2.492
C)Reject H₀ if the standardized test statistic is less than -1.711 or greater than 1.711.
D)Reject H₀ if the standardized test statistic is less than -1.318 or greater than 1.318.
Question
Find the standardized test statistic, t, to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12σ22\sigma _ { 1 } ^ { 2 } \neq \sigma _ { 2 }^ { 2 } \text {. } n1=25n2=30x1=33x2=31 s1=1.5 s2=1.9\begin{array} { l l } \mathrm { n } _ { 1 } = 25 & \mathrm { n } _ { 2 } = 30 \\\overline { \mathrm { x } } 1 = 33 & \overline { \mathrm { x } } 2 = 31 \\\mathrm {~s} 1 = 1.5 & \mathrm {~s} _ { 2 } = 1.9\end{array}

A)4.361
B)3.287
C)2.892
D)1.986
Question
A researcher wishes to determine whether people with high blood pressure can lower their blood pressure by
following a certain diet. A treatment group and a control group are selected. Assume the two samples are
random and independent. Construct a 90% confidence interval for the difference between the two population
means, A researcher wishes to determine whether people with high blood pressure can lower their blood pressure by following a certain diet. A treatment group and a control group are selected. Assume the two samples are random and independent. Construct a 90% confidence interval for the difference between the two population means,   Would you recommend using this diet plan? Explain your reasoning.    <div style=padding-top: 35px> Would you recommend using this diet plan? Explain your reasoning. A researcher wishes to determine whether people with high blood pressure can lower their blood pressure by following a certain diet. A treatment group and a control group are selected. Assume the two samples are random and independent. Construct a 90% confidence interval for the difference between the two population means,   Would you recommend using this diet plan? Explain your reasoning.    <div style=padding-top: 35px> A researcher wishes to determine whether people with high blood pressure can lower their blood pressure by following a certain diet. A treatment group and a control group are selected. Assume the two samples are random and independent. Construct a 90% confidence interval for the difference between the two population means,   Would you recommend using this diet plan? Explain your reasoning.    <div style=padding-top: 35px>
Question
Suppose you want to test the claim that μ1=μ2\mu _ { 1 } = \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12σ22\sigma { } _ { 1 } ^ { 2 } \neq \sigma _ { 2 } ^ { 2 } At a
Level of significance of α α\alpha = 0.01, when should you reject H₀? n1=25n2=30x1=23x2=21 s1=1.5 s2=1.9\begin{array} { l l } \mathrm { n } _ { 1 } = 25 & \mathrm { n } _ { 2 } = 30 \\\overline { \mathrm { x } } 1 = 23 & \overline { \mathrm { x } } 2 = 21 \\\mathrm {~s} _ { 1 } = 1.5 & \mathrm {~s} _ { 2 } = 1.9\end{array}

A)Reject H₀ if the standardized test statistic is less than -2.797 or greater than 2.797.
B)Reject H₀ if the standardized test statistic is less than -2.789 or greater than 2.797.
C)Reject H₀ if the standardized test statistic is less than -1.711 or greater than 1.711.
D)Reject H₀ if the standardized test statistic is less than -2.492 or greater than 2.492.
Question
Find the standardized test statistic, t, to test the claim that μ1<μ2.\mu _ { 1 } < \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } n1=15n2=15x1=21.2x2=23.75 s1=2.9 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 15 & \mathrm { n } _ { 2 } = 15 \\\overline { \mathrm { x } } 1 = 21.2 & \overline { \mathrm { x } } 2 = 23.75 \\\mathrm {~s} _ { 1 } = 2.9 & \mathrm {~s} _ { 2 } = 2.8\end{array}

A)-2.450
B)-3.165
C)-1.667
D)-0.669
Question
Suppose you want to test the claim that μ1<μ2\mu _ { 1 } < \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _{ 2 } ^{ 2 } \text {. } At a
Level of significance of α α=0.10\alpha = 0.10 \text {, } when should you reject H₀? n1=15n2=15x1=27.37x2=29.92 s1=2.9 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 15 & \mathrm { n } _ { 2 } = 15 \\\overline { \mathrm { x } }_ 1 = 27.37 & \overline { \mathrm { x } }_ 2 = 29.92 \\\mathrm {~s} _ { 1 } = 2.9 & \mathrm {~s}_ 2 = 2.8\end{array}

A)Reject H₀ if the standardized test statistic is less than -1.313.
B)Reject H₀ if the standardized test statistic is less than -2.467.
C)Reject H₀ if the standardized test statistic is less than -1.701.
D)Reject H₀ if the standardized test statistic is less than -0.683.
Question
Find the critical values, t0,\mathrm { t } _ { 0 } , to test the claim that μ1=μ2\mu _ { 1 } = \mu 2 Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σ12σ22\sigma _ { 1 } ^ { 2 } \neq \sigma _ { 2 } ^ { 2 } \text {. } Use α\alpha = 0.05. n1=25x1=17 s1=1.5\begin{array} { l } \mathrm { n } _ { 1 } = 25 \\\overline { \mathrm { x } } 1 = 17 \\\mathrm {~s} _ { 1 } = 1.5\end{array} n2=30x2=15 s2=1.9\begin{array} { l } \mathrm { n } _ { 2 } = 30 \\\overline { \mathrm { x } _ { 2 } } = 15 \\\mathrm {~s} _ { 2 } = 1.9\end{array}

A) ±2.064\pm 2.064
B) ±2.797\pm 2.797
C) ±1.711\pm 1.711
D)± ±2.492\pm 2.492
Question
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   Use   = 0.05.  <div style=padding-top: 35px> Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   Use   = 0.05.  <div style=padding-top: 35px> Use Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   Use   = 0.05.  <div style=padding-top: 35px> = 0.05. Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   Use   = 0.05.  <div style=padding-top: 35px>
Question
Suppose you want to test the claim that μ1μ2\mu _ { 1 } \neq \mu _ { 2 } TTwo samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ21σ22\sigma \underset { 1 } { 2 } \neq \sigma _ { 2 } ^{ 2 } At a
Level of significance of α α\alpha = 0.20, when should you reject H₀? n1=11n2=18x1=2.9x2=3.3 s1=0.76 s2=0.51\begin{array} { l l } \mathrm { n } _ { 1 } = 11 & \mathrm { n } _ { 2 } = 18 \\\overline { \mathrm { x } }_ 1 = 2.9 & \overline { \mathrm { x } }_ 2 = 3.3 \\\mathrm {~s} _1 = 0.76 & \mathrm {~s}_ 2 = 0.51\end{array}

A)Reject H₀ if the standardized test statistic is less than -1.372 or greater than 1.372.
B)Reject H₀ if the standardized test statistic is less than -0.684 or greater than 0.684.
C)Reject H₀ if the standardized test statistic is less than -2.228 or greater than 2.228.
D)Reject H₀ if the standardized test statistic is less than -3.169 or greater than 3.169.
Question
Find the critical valuevalue, t0t _ { 0 } to test the claim that μ1<μ2.\mu _ { 1 } < \mu _ { 2 } . Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σ12=σ22. Use α=0.05\sigma { } _ { 1 } ^ { 2 } = \sigma _ { 2 } ^{ 2 } \text {. Use } \alpha = 0.05 n1=15x1=22.2 s1=2.9\begin{array} { l } \mathrm { n } _ { 1 } = 15 \\\overline { \mathrm { x } } _ { 1 } = 22.2 \\\mathrm {~s} _ { 1 } = 2.9\end{array} n2=15x2=24.75 s2=2.8\begin{array} { l } \mathrm { n } _ { 2 } = 15 \\\overline { \mathrm { x } _ { 2 } } = 24.75 \\\mathrm {~s} _ { 2 } = 2.8\end{array}

A)-1.701
B)2.467
C)-1.313
D)0.683
Question
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    <div style=padding-top: 35px> Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    <div style=padding-top: 35px> Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    <div style=padding-top: 35px>
Question
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   . Use   = 0.01.  <div style=padding-top: 35px> Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   . Use   = 0.01.  <div style=padding-top: 35px> . Use Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   . Use   = 0.01.  <div style=padding-top: 35px> = 0.01. Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   . Use   = 0.01.  <div style=padding-top: 35px>
Question
For which confidence interval for the difference in the means μ1μ2,\mu _ { 1 } - \mu _ { 2 } , would you reject the null hypothesis?

A)(-2.001, -1.873)
B)(-1.968, 1.561)
C)(-1.673, 1.892)
D)(-2.209, 0.209)
Question
Suppose you want to test the claim that μ1>μ2.\mu _ { 1 } > \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12σ22\sigma { } _ { 1 } ^ { 2 } \neq \sigma_ { 2 } ^{ 2 } At a
Level of significance of α α\alpha = 0.01, when should you reject H₀? n1=18n2=13x1=595x2=580 s1=40 s2=25\begin{array} { l l } \mathrm { n } _ { 1 } = 18 & \mathrm { n } _ { 2 } = 13 \\\overline { \mathrm { x } }_ 1 = 595 & \overline { \mathrm { x } }_ 2 = 580 \\\mathrm {~s} 1 = 40 & \mathrm {~s} 2 = 25\end{array}

A)Reject H₀ if the standardized test statistic is greater than 2.681.
B)Reject H₀ if the standardized test statistic is greater than 1.699.
C)Reject H₀ if the standardized test statistic is greater than 2.179.
D)Reject H₀ if the standardized test statistic is greater than 3.055.
Question
Find the standardized test statistic, t, to test the claim that μ1=μ2\mu _ { 1 } = \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σσ12=σ22\sigma \sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } n1=14n2=12x1=14x2=15 s1=2.5 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 14 & \mathrm { n } _ { 2 } = 12 \\\overline { \mathrm { x } _ { 1 } } = 14 & \overline { \mathrm { x } 2 } = 15 \\\mathrm {~s} _ { 1 } = 2.5 & \mathrm {~s} _ { 2 } = 2.8\end{array}

A)-0.962
B)-0.813
C)-1.326
D)-1.101
Question
Find the standardized test statistic, t, to test the claim that μ1>μ2.\mu _ { 1 } > \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12σ22\sigma \stackrel { 2 } { 1 } \neq \sigma _ { 2 } ^{ 2 } n1=18n2=13x1=515x2=500 s1=40 s2=25\begin{array} { l l } \mathrm { n } _ { 1 } = 18 & \mathrm { n } _ { 2 } = 13 \\\overline { \mathrm { x } } 1 = 515 & \overline { \mathrm { x } _ { 2 } } = 500 \\\mathrm {~s} _ { 1 } = 40 & \mathrm {~s} _ { 2 } = 25\end{array}

A)1.282
B)3.271
C)2.819
D)1.865
Question
Find the critical values, t0\mathrm { t } _ { 0 } to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } Use α\alpha = 0.05. n1=14n2=12x1=15x2=16 s1=2.5 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 14 & \mathrm { n } _ { 2 } = 12 \\\overline { \mathrm { x } } 1 = 15 & \overline { \mathrm { x } } 2 = 16 \\\mathrm {~s} _ { 1 } = 2.5 & \mathrm {~s} _ { 2 } = 2.8\end{array}

A) ±2.064\pm 2.064
B) ±2.492\pm 2.492
C) ±1.711\pm 1.711
D) ±1.318\pm 1.318
Question
Find the critical value, t0t _ { 0 } to test the claim that μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } . Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σσ12σ22. Use α=0.02\sigma \sigma _ { 1 } ^ { 2 } \neq \sigma _ { 2 } ^{ 2 } \text {. Use } \alpha = 0.02 n1=11n2=18x1=3.9x2=4.3 s1=0.76 s2=0.51\begin{array} { l l } \mathrm { n } _ { 1 } = 11 & \mathrm { n } _ { 2 } = 18 \\\overline { \mathrm { x } } 1 = 3.9 & \overline { \mathrm { x } _ { 2 } } = 4.3 \\\mathrm {~s} _ { 1 } = 0.76 & \mathrm {~s} _ { 2 } = 0.51\end{array}

A) ±2.764\pm 2.764
B) ±0.684\pm 0.684
C) ±2.228\pm 2.228
D) ±3.169\pm 3.169
Question
Find the critical value, t0t _ { 0 } to test the claim that μ1>μ2.\mu _ { 1 } > \mu _ { 2 } . Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σ12σ22\sigma { } _ { 1 } ^ { 2 } \neq \sigma _ { 2 }^ { 2 } Use α = 0.01. n1=18n2=13x1=600x2=585 s1=40 s2=25\begin{array} { l l } \mathrm { n } _ { 1 } = 18 & \mathrm { n } _ { 2 } = 13 \\\overline { \mathrm { x } } 1 = 600 & \overline { \mathrm { x } _ { 2 } } = 585 \\\mathrm {~s} _ { 1 } = 40 & \mathrm {~s} _ { 2 } = 25\end{array}

A)2.681
B)1.699
C)2.179
D)3.055
Question
Find the standardized test statistic, t, to test the claim that μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σσ12σ22.\sigma \sigma _ { 1 } ^ { 2 } \neq \sigma _{ 2 }^ { 2 } . n1=11n2=18x1=6.9x2=7.3 s1=0.76 s2=0.51\begin{array} { l l } \mathrm { n } _ { 1 } = 11 & \mathrm { n } _ { 2 } = 18 \\\overline { \mathrm { x } } 1 = 6.9 & \overline { \mathrm { x } } 2 = 7.3 \\\mathrm {~s} _ { 1 } = 0.76 & \mathrm {~s} _ { 2 } = 0.51\end{array}

A)-1.546
B)-1.821
C)-2.123
D)-1.326
Question
Construct a 90% confidence interval for μ1μ2.\mu _ { 1 } - \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma { } _ { 2 } ^ { 2 } n1=10n2=12x1=25x2=23 s1=1.5 s2=1.9\begin{array} { l l } \mathrm { n } _ { 1 } = 10 & \mathrm { n } _ { 2 } = 12 \\\overline { \mathrm { x } } 1 = 25 & \overline { \mathrm { x } } 2 = 23 \\\mathrm {~s} _ { 1 } = 1.5 & \mathrm {~s} _ { 2 } = 1.9\end{array}

A)(0.721, 3.279)
B)(1.335, 3.012)
C)(1.413, 3.124)
D)(1.554, 3.651)
Question
A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male
counterparts when they win first place in a professional tournament. The data listed below are the first place
prize monies from male and female tournament winners. Assume the samples are random, independent, and
come from populations that are normally distributed. At α A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. At α   = 0.01, test the groupʹs claim. Assume the population variances are not equal.    <div style=padding-top: 35px> = 0.01, test the groupʹs claim. Assume the
population variances are not equal. A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. At α   = 0.01, test the groupʹs claim. Assume the population variances are not equal.    <div style=padding-top: 35px> A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. At α   = 0.01, test the groupʹs claim. Assume the population variances are not equal.    <div style=padding-top: 35px>
Question
Find d.\overline { \mathrm { d } } . Assume the samples are random and dependent, and the populations are normally distributed. A2.53.55.42.42.5B4.93.83.73.65.0\begin{array} { c | c c c c c } \mathrm { A } & 2.5 & 3.5 & 5.4 & 2.4 & 2.5 \\\hline \mathrm { B } & 4.9 & 3.8 & 3.7 & 3.6 & 5.0\end{array}

A)-0.94
B)-0.76
C)0.58
D)0.89
Question
Find d.\overline { \mathrm { d } } . Assume the samples are random and dependent, and the populations are normally distributed. A1311302614B1178185\begin{array} { c | c c c c c } \mathrm { A } & 13 & 11 & 30 & 26 & 14 \\\hline \mathrm { B } & 11 & 7 & 8 & 18 & 5\end{array}

A)9.0
B)-5.1
C)33.1
D)25.2
Question
Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } n1=11n2=18x1=4.8x2=5.2 s1=0.76 s2=0.51\begin{array} { l l } \mathrm { n } _ { 1 } = 11 & \mathrm { n } _ { 2 } = 18 \\\overline { \mathrm { x } } 1 = 4.8 & \overline { \mathrm { x } } 2 = 5.2 \\\mathrm {~s} _ { 1 } = 0.76 & \mathrm {~s} _ { 2 } = 0.51\end{array}

A)(-0.883, 0.083)
B)(-4.152, 3.981)
C)(-2.762, 2.762)
D)(-1.762, 1.762)
Question
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs
bank checks the waiting times at both banks. Assume the samples are random and independent, and the
populations are normally distributed. Test the local bankʹs claim: (a)assuming that A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs bank checks the waiting times at both banks. Assume the samples are random and independent, and the populations are normally distributed. Test the local bankʹs claim: (a)assuming that   assuming that      <div style=padding-top: 35px> assuming that A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs bank checks the waiting times at both banks. Assume the samples are random and independent, and the populations are normally distributed. Test the local bankʹs claim: (a)assuming that   assuming that      <div style=padding-top: 35px> A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs bank checks the waiting times at both banks. Assume the samples are random and independent, and the populations are normally distributed. Test the local bankʹs claim: (a)assuming that   assuming that      <div style=padding-top: 35px> A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs bank checks the waiting times at both banks. Assume the samples are random and independent, and the populations are normally distributed. Test the local bankʹs claim: (a)assuming that   assuming that      <div style=padding-top: 35px>
Question
A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male
counterparts when they win first place in a professional tournament. The data listed below are the first place
prize monies from male and female tournament winners. Assume the samples are random, independent, and
come from populations that are normally distributed. Construct a 99% confidence interval for the difference in
the means A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. Construct a 99% confidence interval for the difference in the means   Assume the population variances are not equal.    <div style=padding-top: 35px> Assume the population variances are not equal. A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. Construct a 99% confidence interval for the difference in the means   Assume the population variances are not equal.    <div style=padding-top: 35px> A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. Construct a 99% confidence interval for the difference in the means   Assume the population variances are not equal.    <div style=padding-top: 35px>
Question
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    <div style=padding-top: 35px> Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    <div style=padding-top: 35px> Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    <div style=padding-top: 35px>
Question
Find the critical value, t0t _ { 0 } to test the claim that μd\mu _ { \mathrm { d } } = 0. Assume the samples are random and dependent, and the populations are normally distributed. Use α\alpha = 0.05.  A 1917363220 B 1713142411\begin{array} { c | l l l l l } \text { A } & 19 & 17 & 36 & 32 & 20 \\\hline \text { B } & 17 & 13 & 14 & 24 & 11\end{array}

A) ±2.776\pm 2.776
B)2.132
C) ±4.604\pm 4.604
D)3.747
Question
Find the critical value, t0,t _ { 0 } , to test the claim that μd\mu _ { \mathrm { d } } = 0. Assume the samples are random and dependent, and the populations are normally distributed. Use α\alpha = 0.01.  A 8.29.211.18.18.2 B 10.69.59.49.310.7\begin{array} { r | r r r r r } \text { A } & 8.2 & 9.2 & 11.1 & 8.1 & 8.2 \\\hline \text { B } & 10.6 & 9.5 & 9.4 & 9.3 & 10.7\end{array}

A) ±4.604\pm 4.604
B) ±3.747\pm 3.747
C)2.132
D)0.741
Question
A study was conducted to determine if the salaries of elementary school teachers from two neighboring
districts were equal. A sample of 15 teachers from each district was randomly selected. The mean from the first
district was $28,900 with a standard deviation of $2300. The mean from the second district was $30,300 with a
standard deviation of $2100. Test the claim that the salaries from both districts are equal. Assume the samples
are random and independent, and the populations are normally distributed. Also, assume that A study was conducted to determine if the salaries of elementary school teachers from two neighboring districts were equal. A sample of 15 teachers from each district was randomly selected. The mean from the first district was $28,900 with a standard deviation of $2300. The mean from the second district was $30,300 with a standard deviation of $2100. Test the claim that the salaries from both districts are equal. Assume the samples are random and independent, and the populations are normally distributed. Also, assume that   Use  <div style=padding-top: 35px> Use A study was conducted to determine if the salaries of elementary school teachers from two neighboring districts were equal. A sample of 15 teachers from each district was randomly selected. The mean from the first district was $28,900 with a standard deviation of $2300. The mean from the second district was $30,300 with a standard deviation of $2100. Test the claim that the salaries from both districts are equal. Assume the samples are random and independent, and the populations are normally distributed. Also, assume that   Use  <div style=padding-top: 35px>
Question
A study was conducted to determine if the salaries of elementary school teachers from two neighboring districts were equal. A sample of 15 teachers from each district was randomly selected. The mean from the first
District was $28,900 with a standard deviation of $2300. The mean from the second district was $30,300 with a
Standard deviation of $2100. Assume the samples are random, independent, and come from populations that
Are normally distributed. Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } \text {. }

A)(-3047, 247)
B)(-2054, 238)
C)(-2871, 567)
D)(-4081, 597)
Question
Test the claim that the paired sample data is from a population with a mean difference of 0. Assume the
samples are random and dependent, and the populations are normally distributed. Use Test the claim that the paired sample data is from a population with a mean difference of 0. Assume the samples are random and dependent, and the populations are normally distributed. Use    <div style=padding-top: 35px> Test the claim that the paired sample data is from a population with a mean difference of 0. Assume the samples are random and dependent, and the populations are normally distributed. Use    <div style=padding-top: 35px>
Question
Find sd\mathrm { s } _ { \mathrm { d } } Assume the samples are random and dependent, and the populations are normally distributed.  A 5.36.38.25.25.3 B 7.76.66.56.47.8\begin{array} { c | c c c c c } \text { A } & 5.3 & 6.3 & 8.2 & 5.2 & 5.3 \\\hline \text { B } & 7.7 & 6.6 & 6.5 & 6.4 & 7.8\end{array}

A)1.73
B)1.21
C)1.32
D)1.89
Question
Find the critical value, t0t _ { 0 } to test the claim that μd\mu _ { \mathrm { d } } = 0. Assume the samples are random and dependent, and the populations are normally distributed. Use α\alpha = 0.02. A89.211.18.18.2 B 5.44.35.24.15.5\begin{array} { c | c c c c c } \mathrm { A } & 8 & 9.2 & 11.1 & 8.1 & 8.2 \\\hline \text { B } & 5.4 & 4.3 & 5.2 & 4.1 & 5.5\end{array}

A) ±3.747\pm 3.747
B) ±4.604\pm 4.604
C)2.132
D)0.741
Question
A sports analyst claims that the mean batting average for teams in the American League is not equal to the
mean batting average for teams in the National League because a pitcher does not bat in the American League.
The data listed below are random, independent, and come from populations that are normally distributed. At A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. At   α = 0.05, test the sports analystʹs claim. Assume the population variances are equal.  <div style=padding-top: 35px> α = 0.05, test the sports analystʹs claim. Assume the population variances are equal. A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. At   α = 0.05, test the sports analystʹs claim. Assume the population variances are equal.  <div style=padding-top: 35px>
Question
A sports analyst claims that the mean batting average for teams in the American League is not equal to the
mean batting average for teams in the National League because a pitcher does not bat in the American League.
The data listed below are random, independent, and come from populations that are normally distributed.
Construct a 95% confidence interval for the difference in the means A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. Construct a 95% confidence interval for the difference in the means   Assume the population variances are equal.    <div style=padding-top: 35px> Assume the population variances
are equal. A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. Construct a 95% confidence interval for the difference in the means   Assume the population variances are equal.    <div style=padding-top: 35px> A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. Construct a 95% confidence interval for the difference in the means   Assume the population variances are equal.    <div style=padding-top: 35px>
Question
Find sd\mathrm { s } _ { \mathrm { d } } Assume the samples are random and dependent, and the populations are normally distributed.  A 2725444028 B 2521223219\begin{array} { c | l l l l l } \text { A } & 27 & 25 & 44 & 40 & 28 \\\hline \text { B } & 25 & 21 & 22 & 32 & 19\end{array}

A)7.8
B)5.6
C)6.8
D)8.9
Question
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    <div style=padding-top: 35px> Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    <div style=padding-top: 35px> Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    <div style=padding-top: 35px>
Question
Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ21=σ22\sigma \underset { 1 } { 2 } = \sigma _{ 2 } ^{ 2 } n1=8n2=7x1=4.1x2=5.5 s1=0.76 s2=2.51\begin{array} { l l } \mathrm { n } _ { 1 } = 8 & \mathrm { n } _ { 2 } = 7 \\\overline { \mathrm { x } } 1 = 4.1 & \overline { \mathrm { x } } 2 = 5.5 \\\mathrm {~s} _ { 1 } = 0.76 & \mathrm {~s} _ { 2 } = 2.51\end{array}

A)(-3.406, 0.606)
B)(-1.132, 1.543)
C)(-1.679, 1.987)
D)(2.112, 2.113)
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Deck 8: Hypothesis Testing With Two Samples
1
Find the standardized test statistic to test the claim that μ1<μ2\mu _ { 1 } < \mu _ { 2 } Assume the two samples are random and independent.
Population statistics: σ1=2.9 and σ2=2.8\sigma _ { 1 } = 2.9 \text { and } \sigma _ { 2 } = 2.8 Sample statisticsstatistics: x1=20.16,n1=35 and x2=22.71,n2=42\overline { \mathrm { x } } 1 = 20.16 , \mathrm { n } _ { 1 } = 35 \text { and } \overline { \mathrm { x } } 2 = 22.71 , \mathrm { n } _ { 2 } = 42

A)-3.90
B)-3.16
C)-2.63
D)-1.66
-3.90
2
Suppose you want to test the claim that μ1>μ2\mu _ { 1 } > \mu _ { 2 } Assume the two samples are random and independent. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?

A)There is sufficient evidence to support the claim μ μ1>μ2\mu _ { 1 } > \mu _ { 2 }
B)There is sufficient evidence to reject the claim μ μ1>μ2\mu _ { 1 } > \mu _ { 2 }
C)There is not sufficient evidence to reject the claim μ μ1>μ2\mu _ { 1 } > \mu _ { 2 }
D)There is not sufficient evidence to support the claim μ μ1>μ2\mu _ { 1 } > \mu _ { 2 }
There is sufficient evidence to support the claim μ μ1>μ2\mu _ { 1 } > \mu _ { 2 }
3
Classify the two given samples as independent or dependent. Sample 1: The scores of 22 students who took the ACT
Sample 2: The scores of 22 different students who took the SAT

A)independent
B)dependent
independent
4
Classify the two given samples as independent or dependent. Sample 1: The weights in pounds of 21 newborn females
Sample 2: The weights in pounds of 21 newborn males

A)independent
B)dependent
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5
Suppose you want to test the claim that μ1μ2\mu _ { 1 } \neq \mu _ { 2 } Assume the two samples are random and independent. At a level of significance of α = 0.02, when should you reject H₀?
Population statistics: σ1=0.76 and σ2=0.51\sigma _ { 1 } = 0.76 \text { and } \sigma _ { 2 } = 0.51 Sample statisticsstatistics: x1=1.8,n1=51 and x2=2.2,n2=38\overline { \mathrm { x } } 1 = 1.8 , \mathrm { n } _ { 1 } = 51 \text { and } \overline { \mathrm { x } } 2 = 2.2 , \mathrm { n } _ { 2 } = 38

A)Reject H₀ if the standardized test statistic is less than -2.33 or greater than 2.33.
B)Reject H₀ if the standardized test statistic is less than -1.96 or greater than 1.96.
C)Reject H₀ if the standardized test statistic is less than -1.645 or greater than 1.645.
D)Reject H₀ if the standardized test statistic is less than -2.575 or greater than 2.575.
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6
Find the standardized test statistic to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Assume the two samples are random and independent.
Population statistics: σ1=1.5 and σ2=1.9\sigma _ { 1 } = 1.5 \text { and } \sigma _ { 2 } = 1.9 Sample statisticsstatistics: xˉ1=24,n1=50 and xˉ2=22,n2=60\bar { x }_ 1 = 24 , \mathrm { n } _ { 1 } = 50 \text { and } \bar { x }_ 2 = 22 , n _ { 2 } = 60

A)6.2
B)8.1
C)4.2
D)3.8
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7
As part of a Masterʹs thesis project, a mathematics teacher is interested in the effects of two different teaching methods on mathematics achievement. She randomly chooses one class of students to learn an algebraic
Concept using traditional methods and another class of students to learn the same algebraic concept using
Manipulatives. The teacher then compares their test scores. Determine whether the samples are dependent or
Independent.

A)independent
B)dependent
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8
Suppose you want to test the claim that μ1>μ2\mu _ { 1 } > \mu _ { 2 } AssumAssume the two samples are random and independent. At a level of significance of α = 0.01, when should you reject H₀?
Population statistics: σ1=45 and σ2=25\sigma _ { 1 } = 45 \text { and } \sigma _ { 2 } = 25 Sample statistics: x1=805,n1=100 and x2=790,n2=125\overline { \mathrm { x } } 1 = 805 , \mathrm { n } _ { 1 } = 100 \text { and } \overline { \mathrm { x } } 2 = 790 , \mathrm { n } _ { 2 } = 125

A)Reject H₀ if the standardized test statistic is greater than 2.33.
B)Reject H₀ if the standardized test statistic is greater than 1.96.
C)Reject H₀ if the standardized test statistic is greater than 1.645.
D)Reject H₀ if the standardized test statistic is greater than 2.575.
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9
Find the standardized test statistic to test the claim that μ1=μ2\mu _ { 1 } = \mu _ { 2 } . Assume the two samples are random and independent.
Population statistics: σ1=2.5 and σ2=2.8\sigma _ { 1 } = 2.5 \text { and } \sigma _ { 2 } = 2.8 Sample statistics: x1=3,n1=40 and x2=4,n2=35\overline { \mathrm { x } } 1 = 3 , \mathrm { n } _ { 1 } = 40 \text { and } \overline { \mathrm { x } } 2 = 4 , \mathrm { n } _ { 2 } = 35

A)-1.6
B)-0.8
C)-2.6
D)-1.0
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10
Find the standardized test statistic to test the claim that μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } . Assume the two samples are random and independent.
Population statistics: σ1=0.76 and σ2=0.51\sigma _ { 1 } = 0.76 \text { and } \sigma _ { 2 } = 0.51 Sample statistics: x1=4.1,n1=51 and x2=4.5,n2=38\overline { \mathrm { x } } 1 = 4.1 , \mathrm { n } _ { 1 } = 51 \text { and } \overline { \mathrm { x } } 2 = 4.5 , \mathrm { n } _ { 2 } = 38

A)-2.97
B)-1.82
C)-2.12
D)-2.32
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11
Suppose you want to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Assume the two samples are random and independent. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?

A)There is sufficient evidence to reject the claim μ μ1=μ2.\mu _ { 1 } = \mu _ { 2 } .
B)There is not sufficient evidence to reject the claim μ μ1=μ2.\mu _ { 1 } = \mu _ { 2 } .
C)There is sufficient evidence to support the claim μ μ1=μ2\mu _ { 1 } = \mu _ { 2 }
D)There is not sufficient evidence to support the claim μ μ1=μ2\mu _ { 1 } = \mu _ { 2 }
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12
Suppose you want to test the claim that μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } . Assume the two samples are random and independent. At a level of significance of α α\alpha = 0.05, when should you reject H₀?
Population statistics: σ1=1.5 and σ2=1.9\sigma _ { 1 } = 1.5 \text { and } \sigma _ { 2 } = 1.9 Sample statistics: x1=19,n1=50 and x2=17,n2=60\overline { \mathrm { x } } 1 = 19 , \mathrm { n } _ { 1 } = 50 \text { and } \overline { \mathrm { x } } 2 = 17 , \mathrm { n } _ { 2 } = 60

A)Reject H₀ if the standardized test statistic is less than -1.96 or greater than 1.96.
B)Reject H₀ if the standardized test statistic is less than -2.33 or greater than 2.33.
C)Reject H₀ if the standardized test statistic is less than -1.645 or greater than 1.645.
D)Reject H₀ if the standardized test statistic is less than -2.575 or greater than 2.575.
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13
Test the claim that Test the claim that   Assume the two samples are random and independent. Use   = 0.05. Population statistics:   Sample statisticsstatistics:  Assume the two samples are random and independent. Use Test the claim that   Assume the two samples are random and independent. Use   = 0.05. Population statistics:   Sample statisticsstatistics:  = 0.05.
Population statistics: Test the claim that   Assume the two samples are random and independent. Use   = 0.05. Population statistics:   Sample statisticsstatistics:  Sample statisticsstatistics: Test the claim that   Assume the two samples are random and independent. Use   = 0.05. Population statistics:   Sample statisticsstatistics:
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14
Classify the two given samples as independent or dependent. Sample 1: Pre-training weights of 18 people
Sample 2: Post-training weights of 18 people

A)dependent
B)independent
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15
Suppose you want to test the claim that μ1<μ2\mu _ { 1 } < \mu _ { 2 } Assume the two samples are random and independent. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis?

A)There is not sufficient evidence to support the claim μ μ1<μ2\mu _ { 1 } < \mu _ { 2 }
B)There is sufficient evidence to reject the claim μ μ1<μ2.\mu _ { 1 } < \mu _ { 2 } .
C)There is not sufficient evidence to reject the claim μ μ1<μ2\mu _ { 1 } < \mu _ { 2 } .
D)There is sufficient evidence to support the claim μ μ1<μ2\mu _ { 1 } < \mu _ { 2 }
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16
As part of a marketing experiment, a department store regularly mailed discount coupons to 25 of its credit card holders. Their total credit card purchases over the next three months were compared to their prior credit
Card purchases during the previous three months. Determine whether the samples are dependent or
Independent.

A)dependent
B)independent
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17
Suppose you want to test the claim that μ1<μ2\mu _ { 1 } < \mu _ { 2 } Assume the two samples are random and independent. At a level of significance of α α\alpha = 0.05, when should you reject H₀?
Population statistics: σ1=2.9 and σ2=2.8\sigma _ { 1 } = 2.9 \text { and } \sigma _ { 2 } = 2.8 Sample statistics: x1=28.85,n1=35 and x2=31.4,n2=42\overline { \mathrm { x } } 1 = 28.85 , \mathrm { n } _ { 1 } = 35 \text { and } \overline { \mathrm { x } } 2 = 31.4 , \mathrm { n } _ { 2 } = 42

A)Reject H₀ if the standardized test statistic is less than -1.645.
B)Reject H₀ if the standardized test statistic is less than -1.96.
C)Reject H₀ if the standardized test statistic is less than -2.33.
D)Reject H₀ if the standardized test statistic is less than -2.575.
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18
Find the standardized test statistic to test the claim that μ1>μ2.\mu _ { 1 } > \mu _ { 2 } . Assume the two samples are random and independent.
Population statistics: σ1=45 and σ2=25\sigma _ { 1 } = 45 \text { and } \sigma _ { 2 } = 25 Sample statistics: xˉ1=480,n1=100 and xˉ2=465,n2=125\bar { x } 1 = 480 , n _ { 1 } = 100 \text { and } \bar { x } { 2 } = 465 , n _ { 2 } = 125

A)2.99
B)2.81
C)1.86
D)0.91
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19
As part of a marketing experiment, a department store regularly mailed discount coupons to 25 of its credit card holders. Their total credit card purchases over the next three months were compared to the credit card
Purchases over the next three months for 25 credit card holders who were not sent discount coupons.
Determine whether the samples are dependent or independent.

A)independent
B)dependent
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20
As part of a Masterʹs thesis project, a mathematics teacher is interested in the effects of two different teaching methods on mathematics achievement. She randomly chooses a class of students to learn one algebraic concept
Using traditional methods. Then on another day, the same students learn a similar algebraic concept using
Manipulatives. The teacher then compares their test scores. Determine whether the samples are dependent or
Independent.

A)dependent
B)independent
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21
Test the claim that Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statisticsstatistics:  Assume the two samples are random and independent. Use Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statisticsstatistics:  Population statistics: Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statisticsstatistics:  Sample statisticsstatistics: Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statisticsstatistics:
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22
A recent study of 100 elementary school teachers in a southern state found that their mean salary was $24,700
with a population standard deviation of $2100. A similar study of 100 elementary school teachers in a western
state found that their mean salary was $35,100 with a population standard deviation of $3200. Test the claim
that the salaries of elementary school teachers in the western state is more than $10,000 greater than that of
elementary teachers in the southern state. Use A recent study of 100 elementary school teachers in a southern state found that their mean salary was $24,700 with a population standard deviation of $2100. A similar study of 100 elementary school teachers in a western state found that their mean salary was $35,100 with a population standard deviation of $3200. Test the claim that the salaries of elementary school teachers in the western state is more than $10,000 greater than that of elementary teachers in the southern state. Use   = 0.05. Assume the two samples are random and independent. = 0.05. Assume the two samples are random and independent.
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23
At α At α   = 0.05, test a financial advisorʹs claim that the difference between the mean dividend rate for listings in the NYSE market and the mean dividend rate for listings in the NASDAQ market is more than 0.75. Assume the two samples are random and independent.    = 0.05, test a financial advisorʹs claim that the difference between the mean dividend rate for listings in the
NYSE market and the mean dividend rate for listings in the NASDAQ market is more than 0.75. Assume the
two samples are random and independent. At α   = 0.05, test a financial advisorʹs claim that the difference between the mean dividend rate for listings in the NYSE market and the mean dividend rate for listings in the NASDAQ market is more than 0.75. Assume the two samples are random and independent.    At α   = 0.05, test a financial advisorʹs claim that the difference between the mean dividend rate for listings in the NYSE market and the mean dividend rate for listings in the NASDAQ market is more than 0.75. Assume the two samples are random and independent.
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24
Suppose you want to test the claim that μ1μ2\mu _ { 1 } \neq \mu _ { 2 } Assume the two samples are random and independent. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis?

A)There is not sufficient evidence to support the claim μ μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } .
B)There is sufficient evidence to reject the claim μ μ1μ2\mu _ { 1 } \neq \mu _ { 2 }
C)There is not sufficient evidence to reject the claim μ μ1μ2\mu _ { 1 } \neq \mu _ { 2 }
D)There is sufficient evidence to support the claim μ μ1μ2\mu _ { 1 } \neq \mu _ { 2 }
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25
A financial advisor wants to know whether there is a significant difference between the NYSE and NASDAQ
markets in the annual dividend rates for preferred stocks. A sample of 30 returns is selected from each market.
Assume the two samples are random and independent. Test the claim that there is no difference in the annual
dividend rates for the two markets. Use A financial advisor wants to know whether there is a significant difference between the NYSE and NASDAQ markets in the annual dividend rates for preferred stocks. A sample of 30 returns is selected from each market. Assume the two samples are random and independent. Test the claim that there is no difference in the annual dividend rates for the two markets. Use   = 0.05.    = 0.05. A financial advisor wants to know whether there is a significant difference between the NYSE and NASDAQ markets in the annual dividend rates for preferred stocks. A sample of 30 returns is selected from each market. Assume the two samples are random and independent. Test the claim that there is no difference in the annual dividend rates for the two markets. Use   = 0.05.    A financial advisor wants to know whether there is a significant difference between the NYSE and NASDAQ markets in the annual dividend rates for preferred stocks. A sample of 30 returns is selected from each market. Assume the two samples are random and independent. Test the claim that there is no difference in the annual dividend rates for the two markets. Use   = 0.05.
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26
Two groups of patients with colorectal cancer are treated with a different drug to reduce pain. A random
sample of 140 patients are treated using the drug Irinotican and a random sample of 127 patients are treated
using the drug Fluorouracil. Assume the two samples are random and independent. At α Two groups of patients with colorectal cancer are treated with a different drug to reduce pain. A random sample of 140 patients are treated using the drug Irinotican and a random sample of 127 patients are treated using the drug Fluorouracil. Assume the two samples are random and independent. At α   = 0.01, test a pharmaceutical representativeʹs claim that the difference between the mean number of pain-free months for patients using Fluorouracil and the mean number of pain-free months for patients using Irinotican is less than two months.    = 0.01, test a
pharmaceutical representativeʹs claim that the difference between the mean number of pain-free months for
patients using Fluorouracil and the mean number of pain-free months for patients using Irinotican is less than
two months. Two groups of patients with colorectal cancer are treated with a different drug to reduce pain. A random sample of 140 patients are treated using the drug Irinotican and a random sample of 127 patients are treated using the drug Fluorouracil. Assume the two samples are random and independent. At α   = 0.01, test a pharmaceutical representativeʹs claim that the difference between the mean number of pain-free months for patients using Fluorouracil and the mean number of pain-free months for patients using Irinotican is less than two months.    Two groups of patients with colorectal cancer are treated with a different drug to reduce pain. A random sample of 140 patients are treated using the drug Irinotican and a random sample of 127 patients are treated using the drug Fluorouracil. Assume the two samples are random and independent. At α   = 0.01, test a pharmaceutical representativeʹs claim that the difference between the mean number of pain-free months for patients using Fluorouracil and the mean number of pain-free months for patients using Irinotican is less than two months.
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27
A medical researcher suspects that the pulse rate of smokers is higher than the pulse rate of non-smokers. Test
the researcherʹs suspicion using α A medical researcher suspects that the pulse rate of smokers is higher than the pulse rate of non-smokers. Test the researcherʹs suspicion using α   = 0.05. Assume the two samples are random and independent.  = 0.05. Assume the two samples are random and independent. A medical researcher suspects that the pulse rate of smokers is higher than the pulse rate of non-smokers. Test the researcherʹs suspicion using α   = 0.05. Assume the two samples are random and independent.
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28
A statistics teacher believes that students in an evening statistics class score higher than the students in a day
class. The results of a special exam are shown below. Assume the two samples are random and independent.
Can the teacher conclude that the evening students have a higher score? Use A statistics teacher believes that students in an evening statistics class score higher than the students in a day class. The results of a special exam are shown below. Assume the two samples are random and independent. Can the teacher conclude that the evening students have a higher score? Use    A statistics teacher believes that students in an evening statistics class score higher than the students in a day class. The results of a special exam are shown below. Assume the two samples are random and independent. Can the teacher conclude that the evening students have a higher score? Use
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29
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor
bank checks the waiting times at both banks. Use P-values to test the local bankʹs claim. Use A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Use P-values to test the local bankʹs claim. Use   = 0.05. Assume the two samples are random and independent.  = 0.05. Assume
the two samples are random and independent. A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Use P-values to test the local bankʹs claim. Use   = 0.05. Assume the two samples are random and independent.
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30
Test the claim that Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  Assume the two samples are random and independent. Use Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  Population statistics: Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  Sample statistics: Test the claim that   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:
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31
Two samples are random and independent. Find the P-value used to test the claim that μ1>μ2. Use α=0.05\mu _ { 1 } > \mu _ { 2 } . \text { Use } \alpha = 0.05 \text {. } Population statistics: σ1=40 and σ2=24\sigma _ { 1 } = 40 \text { and } \sigma _ { 2 } = 24 Sample statistics: x1=615,n1=100 and xˉ2=600,n2=125\overline { \mathrm { x } } 1 = 615 , \mathrm { n } _ { 1 } = 100 \text { and } \bar { x } _ { 2 } = 600 , \mathrm { n } _ { 2 } = 125

A)0.0005
B)0.0505
C)0.1015
D)0.5105
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32
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor
bank checks the waiting times at both banks. Assume the two samples are random and independent. Use A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Assume the two samples are random and independent. Use   α = 0.05 and a confidence interval to test the local bankʹs claim.    α = 0.05 and a confidence interval to test the local bankʹs claim. A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Assume the two samples are random and independent. Use   α = 0.05 and a confidence interval to test the local bankʹs claim.    A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Assume the two samples are random and independent. Use   α = 0.05 and a confidence interval to test the local bankʹs claim.
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33
Two samples are random and independent. Find the P-value used to test the claim that μ1=μ2. Use α=0.05\mu _ { 1 } = \mu _ { 2 } \text {. Use } \alpha = 0.05 \text {. } Population statistics: σ1=2.5 and σ2=2.8\sigma _ { 1 } = 2.5 \text { and } \sigma _ { 2 } = 2.8 Sample statisticsstatistics: x1=12,n1=40 and x2=13,n2=35\overline { \mathrm { x } } 1 = 12 , \mathrm { n } _ { 1 } = 40 \text { and } \overline { \mathrm { x } } 2 = 13 , \mathrm { n } _ { 2 } = 35

A)0.1052
B)0.0526
C)0.4020
D)0.1138
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34
A study was conducted to determine if the salaries of elementary school teachers from two neighboring states
were equal. A sample of 100 teachers from each state was randomly selected. The mean from the first state was
$29,100 with a population standard deviation of $2300. The mean from the second state was $30,500 with a
population standard deviation of $2100. Test the claim that the salaries from both states are equal. Use A study was conducted to determine if the salaries of elementary school teachers from two neighboring states were equal. A sample of 100 teachers from each state was randomly selected. The mean from the first state was $29,100 with a population standard deviation of $2300. The mean from the second state was $30,500 with a population standard deviation of $2100. Test the claim that the salaries from both states are equal. Use
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35
A statistics teacher wanted to see whether there was a significant difference in ages between day students and
night students. A sample of 35 students is selected from each group. The data are given below. Assume the two
samples are random and independent. Test the claim that there is no difference in age between the two groups.
Use α A statistics teacher wanted to see whether there was a significant difference in ages between day students and night students. A sample of 35 students is selected from each group. The data are given below. Assume the two samples are random and independent. Test the claim that there is no difference in age between the two groups. Use α   Day Students   Evening Students  Day Students A statistics teacher wanted to see whether there was a significant difference in ages between day students and night students. A sample of 35 students is selected from each group. The data are given below. Assume the two samples are random and independent. Test the claim that there is no difference in age between the two groups. Use α   Day Students   Evening Students  Evening Students A statistics teacher wanted to see whether there was a significant difference in ages between day students and night students. A sample of 35 students is selected from each group. The data are given below. Assume the two samples are random and independent. Test the claim that there is no difference in age between the two groups. Use α   Day Students   Evening Students
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36
Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Assume the two samples are random and independent. The sample statistics are given below.
Population statistics: σ1=1.5 and σ2=1.9\sigma _ { 1 } = 1.5 \text { and } \sigma _ { 2 } = 1.9 Sample statistics: x1=25,n1=50 and x2=23,n2=60\overline { \mathrm { x } } 1 = 25 , \mathrm { n } _ { 1 } = 50 \text { and } \overline { \mathrm { x } } 2 = 23 , \mathrm { n } _ { 2 } = 60

A)(1.364, 2.636)
B)(1.572, 2.987)
C)(1.723, 3.012)
D)(1.919, 3.142)
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37
Test the claim thathat Test the claim thathat   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  Assume the two samples are random and independent. Use Test the claim thathat   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  Population statistics: Test the claim thathat   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:  Sample statistics: Test the claim thathat   Assume the two samples are random and independent. Use   Population statistics:   Sample statistics:
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38
At a local college, 65 female students were randomly selected and it was found that their mean monthly income
was $616 with a population standard deviation of $121.50. Seventy-five male students were also randomly
selected and their mean monthly income was found to be $658 with a population standard deviation of $168.70.
Test the claim that male students have a higher monthly income than female students. Use At a local college, 65 female students were randomly selected and it was found that their mean monthly income was $616 with a population standard deviation of $121.50. Seventy-five male students were also randomly selected and their mean monthly income was found to be $658 with a population standard deviation of $168.70. Test the claim that male students have a higher monthly income than female students. Use
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39
Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Assume the two samples are random and independent. The sample statistics are given below.
Population statistics: σ1=2.5 and σ2=2.8\sigma _ { 1 } = 2.5 \text { and } \sigma _ { 2 } = 2.8 Sample statistics: x1=12,n1=40 and x2=13,n2=35\overline { \mathrm { x } } 1 = 12 , \mathrm { n } _ { 1 } = 40 \text { and } \overline { \mathrm { x } } 2 = 13 , \mathrm { n } _ { 2 } = 35

A)(-2.209, 0.209)
B)(-2.001, -1.873)
C)(-1.968, 1.561)
D)(-1.673, 1.892)
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40
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor
bank checks the waiting times at both banks. Test the local bankʹs claim using α A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Test the local bankʹs claim using α   = 0.05. Assume the two samples are random and independent.  = 0.05. Assume the two
samples are random and independent. A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. Test the local bankʹs claim using α   = 0.05. Assume the two samples are random and independent.
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41
Suppose you want to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } At a
Level of significance of α α=0.05\alpha = 0.05 when should you reject H₀? n1=14n2=12x1=21x2=22 s1=2.5 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 14 & \mathrm { n } _ { 2 } = 12 \\\overline { \mathrm { x } } _ { 1 } = 21 & \overline { \mathrm { x } _ { 2 }} = 22 \\\mathrm {~s} _ { 1 } = 2.5 & \mathrm {~s} _ { 2 } = 2.8\end{array}

A)Reject H₀ if the standardized test statistic is less than -2.064 or greater than 2.064.
B)Reject H₀ if the standardized test statistic is less than -2.492 or greater than 2.492
C)Reject H₀ if the standardized test statistic is less than -1.711 or greater than 1.711.
D)Reject H₀ if the standardized test statistic is less than -1.318 or greater than 1.318.
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42
Find the standardized test statistic, t, to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12σ22\sigma _ { 1 } ^ { 2 } \neq \sigma _ { 2 }^ { 2 } \text {. } n1=25n2=30x1=33x2=31 s1=1.5 s2=1.9\begin{array} { l l } \mathrm { n } _ { 1 } = 25 & \mathrm { n } _ { 2 } = 30 \\\overline { \mathrm { x } } 1 = 33 & \overline { \mathrm { x } } 2 = 31 \\\mathrm {~s} 1 = 1.5 & \mathrm {~s} _ { 2 } = 1.9\end{array}

A)4.361
B)3.287
C)2.892
D)1.986
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43
A researcher wishes to determine whether people with high blood pressure can lower their blood pressure by
following a certain diet. A treatment group and a control group are selected. Assume the two samples are
random and independent. Construct a 90% confidence interval for the difference between the two population
means, A researcher wishes to determine whether people with high blood pressure can lower their blood pressure by following a certain diet. A treatment group and a control group are selected. Assume the two samples are random and independent. Construct a 90% confidence interval for the difference between the two population means,   Would you recommend using this diet plan? Explain your reasoning.    Would you recommend using this diet plan? Explain your reasoning. A researcher wishes to determine whether people with high blood pressure can lower their blood pressure by following a certain diet. A treatment group and a control group are selected. Assume the two samples are random and independent. Construct a 90% confidence interval for the difference between the two population means,   Would you recommend using this diet plan? Explain your reasoning.    A researcher wishes to determine whether people with high blood pressure can lower their blood pressure by following a certain diet. A treatment group and a control group are selected. Assume the two samples are random and independent. Construct a 90% confidence interval for the difference between the two population means,   Would you recommend using this diet plan? Explain your reasoning.
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44
Suppose you want to test the claim that μ1=μ2\mu _ { 1 } = \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12σ22\sigma { } _ { 1 } ^ { 2 } \neq \sigma _ { 2 } ^ { 2 } At a
Level of significance of α α\alpha = 0.01, when should you reject H₀? n1=25n2=30x1=23x2=21 s1=1.5 s2=1.9\begin{array} { l l } \mathrm { n } _ { 1 } = 25 & \mathrm { n } _ { 2 } = 30 \\\overline { \mathrm { x } } 1 = 23 & \overline { \mathrm { x } } 2 = 21 \\\mathrm {~s} _ { 1 } = 1.5 & \mathrm {~s} _ { 2 } = 1.9\end{array}

A)Reject H₀ if the standardized test statistic is less than -2.797 or greater than 2.797.
B)Reject H₀ if the standardized test statistic is less than -2.789 or greater than 2.797.
C)Reject H₀ if the standardized test statistic is less than -1.711 or greater than 1.711.
D)Reject H₀ if the standardized test statistic is less than -2.492 or greater than 2.492.
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45
Find the standardized test statistic, t, to test the claim that μ1<μ2.\mu _ { 1 } < \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } n1=15n2=15x1=21.2x2=23.75 s1=2.9 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 15 & \mathrm { n } _ { 2 } = 15 \\\overline { \mathrm { x } } 1 = 21.2 & \overline { \mathrm { x } } 2 = 23.75 \\\mathrm {~s} _ { 1 } = 2.9 & \mathrm {~s} _ { 2 } = 2.8\end{array}

A)-2.450
B)-3.165
C)-1.667
D)-0.669
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46
Suppose you want to test the claim that μ1<μ2\mu _ { 1 } < \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _{ 2 } ^{ 2 } \text {. } At a
Level of significance of α α=0.10\alpha = 0.10 \text {, } when should you reject H₀? n1=15n2=15x1=27.37x2=29.92 s1=2.9 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 15 & \mathrm { n } _ { 2 } = 15 \\\overline { \mathrm { x } }_ 1 = 27.37 & \overline { \mathrm { x } }_ 2 = 29.92 \\\mathrm {~s} _ { 1 } = 2.9 & \mathrm {~s}_ 2 = 2.8\end{array}

A)Reject H₀ if the standardized test statistic is less than -1.313.
B)Reject H₀ if the standardized test statistic is less than -2.467.
C)Reject H₀ if the standardized test statistic is less than -1.701.
D)Reject H₀ if the standardized test statistic is less than -0.683.
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47
Find the critical values, t0,\mathrm { t } _ { 0 } , to test the claim that μ1=μ2\mu _ { 1 } = \mu 2 Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σ12σ22\sigma _ { 1 } ^ { 2 } \neq \sigma _ { 2 } ^ { 2 } \text {. } Use α\alpha = 0.05. n1=25x1=17 s1=1.5\begin{array} { l } \mathrm { n } _ { 1 } = 25 \\\overline { \mathrm { x } } 1 = 17 \\\mathrm {~s} _ { 1 } = 1.5\end{array} n2=30x2=15 s2=1.9\begin{array} { l } \mathrm { n } _ { 2 } = 30 \\\overline { \mathrm { x } _ { 2 } } = 15 \\\mathrm {~s} _ { 2 } = 1.9\end{array}

A) ±2.064\pm 2.064
B) ±2.797\pm 2.797
C) ±1.711\pm 1.711
D)± ±2.492\pm 2.492
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48
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   Use   = 0.05.  Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   Use   = 0.05.  Use Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   Use   = 0.05.  = 0.05. Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   Use   = 0.05.
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49
Suppose you want to test the claim that μ1μ2\mu _ { 1 } \neq \mu _ { 2 } TTwo samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ21σ22\sigma \underset { 1 } { 2 } \neq \sigma _ { 2 } ^{ 2 } At a
Level of significance of α α\alpha = 0.20, when should you reject H₀? n1=11n2=18x1=2.9x2=3.3 s1=0.76 s2=0.51\begin{array} { l l } \mathrm { n } _ { 1 } = 11 & \mathrm { n } _ { 2 } = 18 \\\overline { \mathrm { x } }_ 1 = 2.9 & \overline { \mathrm { x } }_ 2 = 3.3 \\\mathrm {~s} _1 = 0.76 & \mathrm {~s}_ 2 = 0.51\end{array}

A)Reject H₀ if the standardized test statistic is less than -1.372 or greater than 1.372.
B)Reject H₀ if the standardized test statistic is less than -0.684 or greater than 0.684.
C)Reject H₀ if the standardized test statistic is less than -2.228 or greater than 2.228.
D)Reject H₀ if the standardized test statistic is less than -3.169 or greater than 3.169.
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50
Find the critical valuevalue, t0t _ { 0 } to test the claim that μ1<μ2.\mu _ { 1 } < \mu _ { 2 } . Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σ12=σ22. Use α=0.05\sigma { } _ { 1 } ^ { 2 } = \sigma _ { 2 } ^{ 2 } \text {. Use } \alpha = 0.05 n1=15x1=22.2 s1=2.9\begin{array} { l } \mathrm { n } _ { 1 } = 15 \\\overline { \mathrm { x } } _ { 1 } = 22.2 \\\mathrm {~s} _ { 1 } = 2.9\end{array} n2=15x2=24.75 s2=2.8\begin{array} { l } \mathrm { n } _ { 2 } = 15 \\\overline { \mathrm { x } _ { 2 } } = 24.75 \\\mathrm {~s} _ { 2 } = 2.8\end{array}

A)-1.701
B)2.467
C)-1.313
D)0.683
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51
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that
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52
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   . Use   = 0.01.  Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   . Use   = 0.01.  . Use Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   . Use   = 0.01.  = 0.01. Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that   . Use   = 0.01.
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53
For which confidence interval for the difference in the means μ1μ2,\mu _ { 1 } - \mu _ { 2 } , would you reject the null hypothesis?

A)(-2.001, -1.873)
B)(-1.968, 1.561)
C)(-1.673, 1.892)
D)(-2.209, 0.209)
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54
Suppose you want to test the claim that μ1>μ2.\mu _ { 1 } > \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12σ22\sigma { } _ { 1 } ^ { 2 } \neq \sigma_ { 2 } ^{ 2 } At a
Level of significance of α α\alpha = 0.01, when should you reject H₀? n1=18n2=13x1=595x2=580 s1=40 s2=25\begin{array} { l l } \mathrm { n } _ { 1 } = 18 & \mathrm { n } _ { 2 } = 13 \\\overline { \mathrm { x } }_ 1 = 595 & \overline { \mathrm { x } }_ 2 = 580 \\\mathrm {~s} 1 = 40 & \mathrm {~s} 2 = 25\end{array}

A)Reject H₀ if the standardized test statistic is greater than 2.681.
B)Reject H₀ if the standardized test statistic is greater than 1.699.
C)Reject H₀ if the standardized test statistic is greater than 2.179.
D)Reject H₀ if the standardized test statistic is greater than 3.055.
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55
Find the standardized test statistic, t, to test the claim that μ1=μ2\mu _ { 1 } = \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σσ12=σ22\sigma \sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } n1=14n2=12x1=14x2=15 s1=2.5 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 14 & \mathrm { n } _ { 2 } = 12 \\\overline { \mathrm { x } _ { 1 } } = 14 & \overline { \mathrm { x } 2 } = 15 \\\mathrm {~s} _ { 1 } = 2.5 & \mathrm {~s} _ { 2 } = 2.8\end{array}

A)-0.962
B)-0.813
C)-1.326
D)-1.101
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56
Find the standardized test statistic, t, to test the claim that μ1>μ2.\mu _ { 1 } > \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12σ22\sigma \stackrel { 2 } { 1 } \neq \sigma _ { 2 } ^{ 2 } n1=18n2=13x1=515x2=500 s1=40 s2=25\begin{array} { l l } \mathrm { n } _ { 1 } = 18 & \mathrm { n } _ { 2 } = 13 \\\overline { \mathrm { x } } 1 = 515 & \overline { \mathrm { x } _ { 2 } } = 500 \\\mathrm {~s} _ { 1 } = 40 & \mathrm {~s} _ { 2 } = 25\end{array}

A)1.282
B)3.271
C)2.819
D)1.865
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57
Find the critical values, t0\mathrm { t } _ { 0 } to test the claim that μ1=μ2.\mu _ { 1 } = \mu _ { 2 } . Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } Use α\alpha = 0.05. n1=14n2=12x1=15x2=16 s1=2.5 s2=2.8\begin{array} { l l } \mathrm { n } _ { 1 } = 14 & \mathrm { n } _ { 2 } = 12 \\\overline { \mathrm { x } } 1 = 15 & \overline { \mathrm { x } } 2 = 16 \\\mathrm {~s} _ { 1 } = 2.5 & \mathrm {~s} _ { 2 } = 2.8\end{array}

A) ±2.064\pm 2.064
B) ±2.492\pm 2.492
C) ±1.711\pm 1.711
D) ±1.318\pm 1.318
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58
Find the critical value, t0t _ { 0 } to test the claim that μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } . Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σσ12σ22. Use α=0.02\sigma \sigma _ { 1 } ^ { 2 } \neq \sigma _ { 2 } ^{ 2 } \text {. Use } \alpha = 0.02 n1=11n2=18x1=3.9x2=4.3 s1=0.76 s2=0.51\begin{array} { l l } \mathrm { n } _ { 1 } = 11 & \mathrm { n } _ { 2 } = 18 \\\overline { \mathrm { x } } 1 = 3.9 & \overline { \mathrm { x } _ { 2 } } = 4.3 \\\mathrm {~s} _ { 1 } = 0.76 & \mathrm {~s} _ { 2 } = 0.51\end{array}

A) ±2.764\pm 2.764
B) ±0.684\pm 0.684
C) ±2.228\pm 2.228
D) ±3.169\pm 3.169
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59
Find the critical value, t0t _ { 0 } to test the claim that μ1>μ2.\mu _ { 1 } > \mu _ { 2 } . Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σ12σ22\sigma { } _ { 1 } ^ { 2 } \neq \sigma _ { 2 }^ { 2 } Use α = 0.01. n1=18n2=13x1=600x2=585 s1=40 s2=25\begin{array} { l l } \mathrm { n } _ { 1 } = 18 & \mathrm { n } _ { 2 } = 13 \\\overline { \mathrm { x } } 1 = 600 & \overline { \mathrm { x } _ { 2 } } = 585 \\\mathrm {~s} _ { 1 } = 40 & \mathrm {~s} _ { 2 } = 25\end{array}

A)2.681
B)1.699
C)2.179
D)3.055
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60
Find the standardized test statistic, t, to test the claim that μ1μ2.\mu _ { 1 } \neq \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σσ12σ22.\sigma \sigma _ { 1 } ^ { 2 } \neq \sigma _{ 2 }^ { 2 } . n1=11n2=18x1=6.9x2=7.3 s1=0.76 s2=0.51\begin{array} { l l } \mathrm { n } _ { 1 } = 11 & \mathrm { n } _ { 2 } = 18 \\\overline { \mathrm { x } } 1 = 6.9 & \overline { \mathrm { x } } 2 = 7.3 \\\mathrm {~s} _ { 1 } = 0.76 & \mathrm {~s} _ { 2 } = 0.51\end{array}

A)-1.546
B)-1.821
C)-2.123
D)-1.326
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61
Construct a 90% confidence interval for μ1μ2.\mu _ { 1 } - \mu _ { 2 } . Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma { } _ { 2 } ^ { 2 } n1=10n2=12x1=25x2=23 s1=1.5 s2=1.9\begin{array} { l l } \mathrm { n } _ { 1 } = 10 & \mathrm { n } _ { 2 } = 12 \\\overline { \mathrm { x } } 1 = 25 & \overline { \mathrm { x } } 2 = 23 \\\mathrm {~s} _ { 1 } = 1.5 & \mathrm {~s} _ { 2 } = 1.9\end{array}

A)(0.721, 3.279)
B)(1.335, 3.012)
C)(1.413, 3.124)
D)(1.554, 3.651)
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62
A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male
counterparts when they win first place in a professional tournament. The data listed below are the first place
prize monies from male and female tournament winners. Assume the samples are random, independent, and
come from populations that are normally distributed. At α A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. At α   = 0.01, test the groupʹs claim. Assume the population variances are not equal.    = 0.01, test the groupʹs claim. Assume the
population variances are not equal. A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. At α   = 0.01, test the groupʹs claim. Assume the population variances are not equal.    A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. At α   = 0.01, test the groupʹs claim. Assume the population variances are not equal.
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63
Find d.\overline { \mathrm { d } } . Assume the samples are random and dependent, and the populations are normally distributed. A2.53.55.42.42.5B4.93.83.73.65.0\begin{array} { c | c c c c c } \mathrm { A } & 2.5 & 3.5 & 5.4 & 2.4 & 2.5 \\\hline \mathrm { B } & 4.9 & 3.8 & 3.7 & 3.6 & 5.0\end{array}

A)-0.94
B)-0.76
C)0.58
D)0.89
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64
Find d.\overline { \mathrm { d } } . Assume the samples are random and dependent, and the populations are normally distributed. A1311302614B1178185\begin{array} { c | c c c c c } \mathrm { A } & 13 & 11 & 30 & 26 & 14 \\\hline \mathrm { B } & 11 & 7 & 8 & 18 & 5\end{array}

A)9.0
B)-5.1
C)33.1
D)25.2
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65
Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed The sample statistics are given below. Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } n1=11n2=18x1=4.8x2=5.2 s1=0.76 s2=0.51\begin{array} { l l } \mathrm { n } _ { 1 } = 11 & \mathrm { n } _ { 2 } = 18 \\\overline { \mathrm { x } } 1 = 4.8 & \overline { \mathrm { x } } 2 = 5.2 \\\mathrm {~s} _ { 1 } = 0.76 & \mathrm {~s} _ { 2 } = 0.51\end{array}

A)(-0.883, 0.083)
B)(-4.152, 3.981)
C)(-2.762, 2.762)
D)(-1.762, 1.762)
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66
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs
bank checks the waiting times at both banks. Assume the samples are random and independent, and the
populations are normally distributed. Test the local bankʹs claim: (a)assuming that A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs bank checks the waiting times at both banks. Assume the samples are random and independent, and the populations are normally distributed. Test the local bankʹs claim: (a)assuming that   assuming that      assuming that A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs bank checks the waiting times at both banks. Assume the samples are random and independent, and the populations are normally distributed. Test the local bankʹs claim: (a)assuming that   assuming that      A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs bank checks the waiting times at both banks. Assume the samples are random and independent, and the populations are normally distributed. Test the local bankʹs claim: (a)assuming that   assuming that      A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitorʹs bank checks the waiting times at both banks. Assume the samples are random and independent, and the populations are normally distributed. Test the local bankʹs claim: (a)assuming that   assuming that
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67
A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male
counterparts when they win first place in a professional tournament. The data listed below are the first place
prize monies from male and female tournament winners. Assume the samples are random, independent, and
come from populations that are normally distributed. Construct a 99% confidence interval for the difference in
the means A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. Construct a 99% confidence interval for the difference in the means   Assume the population variances are not equal.    Assume the population variances are not equal. A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. Construct a 99% confidence interval for the difference in the means   Assume the population variances are not equal.    A womenʹs advocacy group claims that women golfers receive significantly less prize money than their male counterparts when they win first place in a professional tournament. The data listed below are the first place prize monies from male and female tournament winners. Assume the samples are random, independent, and come from populations that are normally distributed. Construct a 99% confidence interval for the difference in the means   Assume the population variances are not equal.
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68
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that
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69
Find the critical value, t0t _ { 0 } to test the claim that μd\mu _ { \mathrm { d } } = 0. Assume the samples are random and dependent, and the populations are normally distributed. Use α\alpha = 0.05.  A 1917363220 B 1713142411\begin{array} { c | l l l l l } \text { A } & 19 & 17 & 36 & 32 & 20 \\\hline \text { B } & 17 & 13 & 14 & 24 & 11\end{array}

A) ±2.776\pm 2.776
B)2.132
C) ±4.604\pm 4.604
D)3.747
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70
Find the critical value, t0,t _ { 0 } , to test the claim that μd\mu _ { \mathrm { d } } = 0. Assume the samples are random and dependent, and the populations are normally distributed. Use α\alpha = 0.01.  A 8.29.211.18.18.2 B 10.69.59.49.310.7\begin{array} { r | r r r r r } \text { A } & 8.2 & 9.2 & 11.1 & 8.1 & 8.2 \\\hline \text { B } & 10.6 & 9.5 & 9.4 & 9.3 & 10.7\end{array}

A) ±4.604\pm 4.604
B) ±3.747\pm 3.747
C)2.132
D)0.741
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71
A study was conducted to determine if the salaries of elementary school teachers from two neighboring
districts were equal. A sample of 15 teachers from each district was randomly selected. The mean from the first
district was $28,900 with a standard deviation of $2300. The mean from the second district was $30,300 with a
standard deviation of $2100. Test the claim that the salaries from both districts are equal. Assume the samples
are random and independent, and the populations are normally distributed. Also, assume that A study was conducted to determine if the salaries of elementary school teachers from two neighboring districts were equal. A sample of 15 teachers from each district was randomly selected. The mean from the first district was $28,900 with a standard deviation of $2300. The mean from the second district was $30,300 with a standard deviation of $2100. Test the claim that the salaries from both districts are equal. Assume the samples are random and independent, and the populations are normally distributed. Also, assume that   Use  Use A study was conducted to determine if the salaries of elementary school teachers from two neighboring districts were equal. A sample of 15 teachers from each district was randomly selected. The mean from the first district was $28,900 with a standard deviation of $2300. The mean from the second district was $30,300 with a standard deviation of $2100. Test the claim that the salaries from both districts are equal. Assume the samples are random and independent, and the populations are normally distributed. Also, assume that   Use
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72
A study was conducted to determine if the salaries of elementary school teachers from two neighboring districts were equal. A sample of 15 teachers from each district was randomly selected. The mean from the first
District was $28,900 with a standard deviation of $2300. The mean from the second district was $30,300 with a
Standard deviation of $2100. Assume the samples are random, independent, and come from populations that
Are normally distributed. Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Assume that σ12=σ22\sigma _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } \text {. }

A)(-3047, 247)
B)(-2054, 238)
C)(-2871, 567)
D)(-4081, 597)
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73
Test the claim that the paired sample data is from a population with a mean difference of 0. Assume the
samples are random and dependent, and the populations are normally distributed. Use Test the claim that the paired sample data is from a population with a mean difference of 0. Assume the samples are random and dependent, and the populations are normally distributed. Use    Test the claim that the paired sample data is from a population with a mean difference of 0. Assume the samples are random and dependent, and the populations are normally distributed. Use
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74
Find sd\mathrm { s } _ { \mathrm { d } } Assume the samples are random and dependent, and the populations are normally distributed.  A 5.36.38.25.25.3 B 7.76.66.56.47.8\begin{array} { c | c c c c c } \text { A } & 5.3 & 6.3 & 8.2 & 5.2 & 5.3 \\\hline \text { B } & 7.7 & 6.6 & 6.5 & 6.4 & 7.8\end{array}

A)1.73
B)1.21
C)1.32
D)1.89
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75
Find the critical value, t0t _ { 0 } to test the claim that μd\mu _ { \mathrm { d } } = 0. Assume the samples are random and dependent, and the populations are normally distributed. Use α\alpha = 0.02. A89.211.18.18.2 B 5.44.35.24.15.5\begin{array} { c | c c c c c } \mathrm { A } & 8 & 9.2 & 11.1 & 8.1 & 8.2 \\\hline \text { B } & 5.4 & 4.3 & 5.2 & 4.1 & 5.5\end{array}

A) ±3.747\pm 3.747
B) ±4.604\pm 4.604
C)2.132
D)0.741
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76
A sports analyst claims that the mean batting average for teams in the American League is not equal to the
mean batting average for teams in the National League because a pitcher does not bat in the American League.
The data listed below are random, independent, and come from populations that are normally distributed. At A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. At   α = 0.05, test the sports analystʹs claim. Assume the population variances are equal.  α = 0.05, test the sports analystʹs claim. Assume the population variances are equal. A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. At   α = 0.05, test the sports analystʹs claim. Assume the population variances are equal.
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77
A sports analyst claims that the mean batting average for teams in the American League is not equal to the
mean batting average for teams in the National League because a pitcher does not bat in the American League.
The data listed below are random, independent, and come from populations that are normally distributed.
Construct a 95% confidence interval for the difference in the means A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. Construct a 95% confidence interval for the difference in the means   Assume the population variances are equal.    Assume the population variances
are equal. A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. Construct a 95% confidence interval for the difference in the means   Assume the population variances are equal.    A sports analyst claims that the mean batting average for teams in the American League is not equal to the mean batting average for teams in the National League because a pitcher does not bat in the American League. The data listed below are random, independent, and come from populations that are normally distributed. Construct a 95% confidence interval for the difference in the means   Assume the population variances are equal.
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78
Find sd\mathrm { s } _ { \mathrm { d } } Assume the samples are random and dependent, and the populations are normally distributed.  A 2725444028 B 2521223219\begin{array} { c | l l l l l } \text { A } & 27 & 25 & 44 & 40 & 28 \\\hline \text { B } & 25 & 21 & 22 & 32 & 19\end{array}

A)7.8
B)5.6
C)6.8
D)8.9
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79
Test the claim that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    Two samples are random, independent, and come from populations that are
normally distributed. The sample statistics are given below. Assume that Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that    Test the claim that   Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that
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80
Construct a 95% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that σ21=σ22\sigma \underset { 1 } { 2 } = \sigma _{ 2 } ^{ 2 } n1=8n2=7x1=4.1x2=5.5 s1=0.76 s2=2.51\begin{array} { l l } \mathrm { n } _ { 1 } = 8 & \mathrm { n } _ { 2 } = 7 \\\overline { \mathrm { x } } 1 = 4.1 & \overline { \mathrm { x } } 2 = 5.5 \\\mathrm {~s} _ { 1 } = 0.76 & \mathrm {~s} _ { 2 } = 2.51\end{array}

A)(-3.406, 0.606)
B)(-1.132, 1.543)
C)(-1.679, 1.987)
D)(2.112, 2.113)
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