Deck 11: Comparisons Involving Proportions and a Test of Independence

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Question
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The expected number of freshmen is</strong> A)83 B)90 C)30 D)10 <div style=padding-top: 35px> We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. The expected number of freshmen is

A)83
B)90
C)30
D)10
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Question
The sampling distribution for a goodness of fit test is the

A)Poisson distribution
B)t distribution
C)normal distribution
D)chi-square distribution
Question
A statistical test conducted to determine whether to reject or not reject a hypothesized probability distribution for a population is known as a

A)contingency test
B)probability test
C)goodness of fit test
D)None of these alternatives is correct.
Question
In order not to violate the requirements necessary to use the chi-square distribution, each expected frequency in a goodness of fit test must be

A)at least 5
B)at least 10
C)no more than 5
D)less than 2
Question
The degrees of freedom for a contingency table with 10 rows and 11 columns is

A)100
B)110
C)21
D)90
Question
The number of degrees of freedom for the appropriate chi-square distribution in a test of independence is

A)n-1
B)K-1
C)number of rows minus 1 times number of columns minus 1
D)a chi-square distribution is not used
Question
The degrees of freedom for a contingency table with 12 rows and 12 columns is

A)144
B)121
C)12
D)120
Question
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The calculated value for the test statistic equals</strong> A)2 B)-2 C)20 D)4 <div style=padding-top: 35px> We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The calculated value for the test statistic equals

A)2
B)-2
C)20
D)4
Question
If we are interested in testing whether the proportion of items in population 1 is larger than the proportion of items in population 2, the

A)null hypothesis should state P1 - P2 < 0
B)null hypothesis should state P1 - P2 > 0
C)alternative hypothesis should state P1 - P2 > 0
D)alternative hypothesis should state P1 - P2 < 0
Question
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The conclusion of the test (at 95% confidence) is that the</strong> A)distribution is uniform B)distribution is not uniform C)test is inconclusive D)None of these alternatives is correct. <div style=padding-top: 35px> We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The conclusion of the test (at 95% confidence) is that the

A)distribution is uniform
B)distribution is not uniform
C)test is inconclusive
D)None of these alternatives is correct.
Question
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The expected frequency for each group is</strong> A)0.333 B)0.50 C)1/3 D)50 <div style=padding-top: 35px> We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The expected frequency for each group is

A)0.333
B)0.50
C)1/3
D)50
Question
The degrees of freedom for a contingency table with 6 rows and 3 columns is

A)18
B)15
C)6
D)10
Question
A goodness of fit test is always conducted as a

A)lower-tail test
B)upper-tail test
C)middle test
D)None of these alternatives is correct.
Question
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The number of degrees of freedom associated with this problem is</strong> A)150 B)149 C)2 D)3 <div style=padding-top: 35px> We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The number of degrees of freedom associated with this problem is

A)150
B)149
C)2
D)3
Question
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The expected frequency of seniors is</strong> A)60 B)20% C)68 D)64 <div style=padding-top: 35px> We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. The expected frequency of seniors is

A)60
B)20%
C)68
D)64
Question
A population where each element of the population is assigned to one and only one of several classes or categories is a

A)multinomial population
B)Poisson population
C)normal population
D)None of these alternatives is correct.
Question
The sampling distribution of <strong>The sampling distribution of   is approximated by a</strong> A)normal distribution B)t-distribution with n<sub>1</sub> + n<sub>2</sub> degrees of freedom C)t-distribution with n<sub>1</sub> + n<sub>2</sub> - 1 degrees of freedom D)t-distribution with n<sub>1</sub> + n<sub>2</sub> + 2 degrees of freedom <div style=padding-top: 35px> is approximated by a

A)normal distribution
B)t-distribution with n1 + n2 degrees of freedom
C)t-distribution with n1 + n2 - 1 degrees of freedom
D)t-distribution with n1 + n2 + 2 degrees of freedom
Question
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The calculated value for the test statistic equals</strong> A)0.5444 B)300 C)1.6615 D)6.6615 <div style=padding-top: 35px> We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. The calculated value for the test statistic equals

A)0.5444
B)300
C)1.6615
D)6.6615
Question
An important application of the chi-square distribution is

A)making inferences about a single population variance
B)testing for goodness of fit
C)testing for the independence of two variables
D)All of these alternatives are correct.
Question
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The p-value is</strong> A)larger than 0.1 B)less than 0.1 C)less than 0.05 D)larger than 0.9 <div style=padding-top: 35px> We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The p-value is

A)larger than 0.1
B)less than 0.1
C)less than 0.05
D)larger than 0.9
Question
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The expected frequency of those who received medication and were cured is</strong> A)70 B)150 C)28 D)48 <div style=padding-top: 35px> We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The expected frequency of those who received medication and were cured is

A)70
B)150
C)28
D)48
Question
Exhibit 11-6
The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.
<strong>Exhibit 11-6 The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.   We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed. Refer to Exhibit 11-6. The number of degrees of freedom associated with this problem is</strong> A)2 B)3 C)300 D)299 <div style=padding-top: 35px> We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed.
Refer to Exhibit 11-6. The number of degrees of freedom associated with this problem is

A)2
B)3
C)300
D)299
Question
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The p-value is</strong> A)less than .005 B)between .025 and 0.05 C)between .05 and 0.1 D)greater than 0.1 <div style=padding-top: 35px> We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. The p-value is

A)less than .005
B)between .025 and 0.05
C)between .05 and 0.1
D)greater than 0.1
Question
Exhibit 11-5
The table below gives beverage preferences for random samples of teens and adults.
<strong>Exhibit 11-5 The table below gives beverage preferences for random samples of teens and adults.   We are asked to test for independence between age (i.e., adult and teen) and drink preferences. Refer to Exhibit 11-5. With a .05 level of significance, the critical value for the test is</strong> A)1.645 B)7.815 C)14.067 D)15.507 <div style=padding-top: 35px> We are asked to test for independence between age (i.e., adult and teen) and drink preferences.
Refer to Exhibit 11-5. With a .05 level of significance, the critical value for the test is

A)1.645
B)7.815
C)14.067
D)15.507
Question
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. At 95% confidence, the null hypothesis</strong> A)should not be rejected B)should be rejected C)was designed wrong D)None of these alternatives is correct. <div style=padding-top: 35px> We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. At 95% confidence, the null hypothesis

A)should not be rejected
B)should be rejected
C)was designed wrong
D)None of these alternatives is correct.
Question
Exhibit 11-6
The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.
<strong>Exhibit 11-6 The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.   We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed. Refer to Exhibit 11-6. The calculated value for the test statistic equals</strong> A)300 B)4 C)0 D)8 <div style=padding-top: 35px> We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed.
Refer to Exhibit 11-6. The calculated value for the test statistic equals

A)300
B)4
C)0
D)8
Question
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The number of degrees of freedom associated with this problem is</strong> A)4 B)149 C)1 D)3 <div style=padding-top: 35px> We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The number of degrees of freedom associated with this problem is

A)4
B)149
C)1
D)3
Question
Exhibit 11-5
The table below gives beverage preferences for random samples of teens and adults.
<strong>Exhibit 11-5 The table below gives beverage preferences for random samples of teens and adults.   We are asked to test for independence between age (i.e., adult and teen) and drink preferences. Refer to Exhibit 11-5. The p-value is</strong> A)between .1 and .05 B)between .05 and .025 C)between .025 and .01 D)less than 0.005 <div style=padding-top: 35px> We are asked to test for independence between age (i.e., adult and teen) and drink preferences.
Refer to Exhibit 11-5. The p-value is

A)between .1 and .05
B)between .05 and .025
C)between .025 and .01
D)less than 0.005
Question
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The conclusion of the test is that the

A)proportions have changed significantly
B)proportions have not changed significantly
C)test is inconclusive
D)None of these alternatives is correct.
Question
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals

A)1.645
B)1.96
C)5.991
D)7.815
Question
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The p-value is

A)greater than 0.1
B)between 0.05 and 0.1
C)between 0.025 and 0.05
D)between 0.01 and .025
Question
Exhibit 11-6
The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.
<strong>Exhibit 11-6 The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.   We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed. Refer to Exhibit 11-6. The expected frequency for each group is</strong> A)0.333 B)0.50 C)50 D)None of these alternatives is correct. <div style=padding-top: 35px> We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed.
Refer to Exhibit 11-6. The expected frequency for each group is

A)0.333
B)0.50
C)50
D)None of these alternatives is correct.
Question
Exhibit 11-5
The table below gives beverage preferences for random samples of teens and adults.
<strong>Exhibit 11-5 The table below gives beverage preferences for random samples of teens and adults.   We are asked to test for independence between age (i.e., adult and teen) and drink preferences. Refer to Exhibit 11-5. The test statistic for this test of independence is</strong> A)0 B)8.4 C)62.5 D)82.5 <div style=padding-top: 35px> We are asked to test for independence between age (i.e., adult and teen) and drink preferences.
Refer to Exhibit 11-5. The test statistic for this test of independence is

A)0
B)8.4
C)62.5
D)82.5
Question
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The test statistic is</strong> A)10.08 B)54.02 C)1.96 D)1.645 <div style=padding-top: 35px> We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The test statistic is

A)10.08
B)54.02
C)1.96
D)1.645
Question
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The calculated value for the test statistic equals

A)0.01
B)0.75
C)4.29
D)4.38
Question
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. This problem is an example of a

A)normally distributed variable
B)test for independence
C)Poisson distributed variable
D)multinomial population
Question
Exhibit 11-5
The table below gives beverage preferences for random samples of teens and adults.
<strong>Exhibit 11-5 The table below gives beverage preferences for random samples of teens and adults.   We are asked to test for independence between age (i.e., adult and teen) and drink preferences. Refer to Exhibit 11-5. The expected number of adults who prefer coffee is</strong> A)0.25 B)0.33 C)150 D)200 <div style=padding-top: 35px> We are asked to test for independence between age (i.e., adult and teen) and drink preferences.
Refer to Exhibit 11-5. The expected number of adults who prefer coffee is

A)0.25
B)0.33
C)150
D)200
Question
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The p-value is</strong> A)less than .005 B)between .005 and .01 C)between .01 and .025 D)between .025 and .05 <div style=padding-top: 35px> We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The p-value is

A)less than .005
B)between .005 and .01
C)between .01 and .025
D)between .025 and .05
Question
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The expected frequency for the Business College is

A)0.3
B)0.35
C)90
D)105
Question
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals</strong> A)3.84 B)7.81 C)5.99 D)9.34 <div style=padding-top: 35px> We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals

A)3.84
B)7.81
C)5.99
D)9.34
Question
Exhibit 11-8
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.
 <strong>Exhibit 11-8 An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.   We are interested in determining if the accident proportions differ between the two age groups.  -Refer to Exhibit 11-8 and let p<sub>u</sub> represent the proportion under and po the proportion over the age of 18. The null hypothesis is</strong> A)p<sub>u</sub> - p<sub>o</sub>  \le  0 B)p<sub>u</sub> - p<sub>o</sub>  \ge  0 C)p<sub>u</sub> - p<sub>o</sub>  \neq  0 D)p<sub>u</sub> - p<sub>o</sub> = 0 <div style=padding-top: 35px>  We are interested in determining if the accident proportions differ between the two age groups.

-Refer to Exhibit 11-8 and let pu represent the proportion under and po the proportion over the age of 18. The null hypothesis is

A)pu - po \le 0
B)pu - po \ge 0
C)pu - po \neq 0
D)pu - po = 0
Question
In a sample of 40 Democrats, 6 opposed the President's foreign policy, while of 50 Republicans, 8 were opposed to his policy. Determine a 90% confidence interval estimate for the difference between the proportions of the opinions of the individuals in the two parties.
Question
In a sample of 100 Republicans, 60 favored the President's anti-drug program. While in a sample of 150 Democrats, 84 favored his program. At 95% confidence, test to see if there is a significant difference in the proportions of the Democrats and the Republicans who favored the President's anti-drug program.
Question
During the primary elections of 1996, candidate A showed the following pre-election voter support in Tennessee and Mississippi.
During the primary elections of 1996, candidate A showed the following pre-election voter support in Tennessee and Mississippi.   a.Develop a 95% confidence interval estimate for the difference between the proportion of voters favoring candidate A in the two states. b.Is there conclusive evidence that one of the two states had a larger proportion of voters' support? If yes, which state? Explain.<div style=padding-top: 35px>
a.Develop a 95% confidence interval estimate for the difference between the proportion of voters favoring candidate A in the two states.
b.Is there conclusive evidence that one of the two states had a larger proportion of voters' support? If yes, which state? Explain.
Question
Exhibit 11-8
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.
<strong>Exhibit 11-8 An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.   We are interested in determining if the accident proportions differ between the two age groups. Refer to Exhibit 11-8. The p-value is</strong> A)less than 0.001 B)more than 0.10 C)0.0228 D)0.3 <div style=padding-top: 35px> We are interested in determining if the accident proportions differ between the two age groups.
Refer to Exhibit 11-8. The p-value is

A)less than 0.001
B)more than 0.10
C)0.0228
D)0.3
Question
Exhibit 11-7
The results of a recent poll on the preference of shoppers regarding two products are shown below.
<strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. The point estimate for the difference between the two population proportions in favor of this product is</strong> A)52 B)100 C)0.44 D)0.02 <div style=padding-top: 35px>
Refer to Exhibit 11-7. The point estimate for the difference between the two population proportions in favor of this product is

A)52
B)100
C)0.44
D)0.02
Question
Exhibit 11-7
The results of a recent poll on the preference of shoppers regarding two products are shown below.
<strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. The standard error of   is</strong> A)52 B)0.044 C)0.0225 D)100 <div style=padding-top: 35px>
Refer to Exhibit 11-7. The standard error of <strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. The standard error of   is</strong> A)52 B)0.044 C)0.0225 D)100 <div style=padding-top: 35px> is

A)52
B)0.044
C)0.0225
D)100
Question
A comparative study of organic and conventionally grown produce was checked for the presence of E. coli. Results are summarized below. Is there a significant difference in the proportion of E. Coli in organic vs. conventionally grown produce? Test at α\alpha = 0.10.
 A comparative study of organic and conventionally grown produce was checked for the presence of E. coli. Results are summarized below. Is there a significant difference in the proportion of E. Coli in organic vs. conventionally grown produce? Test at  \alpha  = 0.10.  <div style=padding-top: 35px>
Question
Exhibit 11-8
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.
<strong>Exhibit 11-8 An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.   We are interested in determining if the accident proportions differ between the two age groups. Refer to Exhibit 11-8. The test statistic is</strong> A)0.96 B)1.96 C)2.96 D)3.96 <div style=padding-top: 35px> We are interested in determining if the accident proportions differ between the two age groups.
Refer to Exhibit 11-8. The test statistic is

A)0.96
B)1.96
C)2.96
D)3.96
Question
Exhibit 11-9
The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.
<strong>Exhibit 11-9 The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.   Refer to Exhibit 11-9. The 95% confidence interval for the difference between the two proportions is</strong> A)384 to 450 B)0.48 to 0.5 C)0.028 to 0.068 D)-0.068 to 0.028 <div style=padding-top: 35px>
Refer to Exhibit 11-9. The 95% confidence interval for the difference between the two proportions is

A)384 to 450
B)0.48 to 0.5
C)0.028 to 0.068
D)-0.068 to 0.028
Question
Exhibit 11-7
The results of a recent poll on the preference of shoppers regarding two products are shown below.
<strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. The 95% confidence interval estimate for the difference between the populations favoring the products is</strong> A)-0.024 to 0.064 B)0.6 to 0.7 C)0.024 to 0.7 D)0.02 to 0.3 <div style=padding-top: 35px>
Refer to Exhibit 11-7. The 95% confidence interval estimate for the difference between the populations favoring the products is

A)-0.024 to 0.064
B)0.6 to 0.7
C)0.024 to 0.7
D)0.02 to 0.3
Question
The results of a recent poll on the preference of voters regarding the presidential candidates are shown below.
The results of a recent poll on the preference of voters regarding the presidential candidates are shown below.   a.Develop a 90% confidence interval estimate for the difference between the proportion of voters favoring each candidate. b.Does your confidence interval provide conclusive evidence that one of the candidates is favored more? Explain.<div style=padding-top: 35px>
a.Develop a 90% confidence interval estimate for the difference between the proportion of voters favoring each candidate.
b.Does your confidence interval provide conclusive evidence that one of the candidates is favored more? Explain.
Question
Exhibit 11-8
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.
<strong>Exhibit 11-8 An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.   We are interested in determining if the accident proportions differ between the two age groups. Refer to Exhibit 11-8. The pooled proportion is</strong> A)0.305 B)0.300 C)0.027 D)0.450 <div style=padding-top: 35px> We are interested in determining if the accident proportions differ between the two age groups.
Refer to Exhibit 11-8. The pooled proportion is

A)0.305
B)0.300
C)0.027
D)0.450
Question
Exhibit 11-7
The results of a recent poll on the preference of shoppers regarding two products are shown below.
<strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. At 95% confidence, the margin of error is</strong> A)0.064 B)0.044 C)0.0225 D)52 <div style=padding-top: 35px>
Refer to Exhibit 11-7. At 95% confidence, the margin of error is

A)0.064
B)0.044
C)0.0225
D)52
Question
Of 200 UTC seniors surveyed, 60 were planning on attending Graduate School. At UTK, 400 seniors were surveyed and 100 indicated that they were planning to attend Graduate School.
a.Determine a 95% confidence interval estimate for the difference between the proportion of seniors at the two universities that were planning to attend Graduate School.
b.Is there conclusive evidence to prove that the proportion of students from UTC who plan to go to Graduate School is significantly more than those from UTK? Explain.
Question
Exhibit 11-9
The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.
<strong>Exhibit 11-9 The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.   Refer to Exhibit 11-9. The point estimate for the difference between the proportions is</strong> A)-0.02 B)0.048 C)100 D)66 <div style=padding-top: 35px>
Refer to Exhibit 11-9. The point estimate for the difference between the proportions is

A)-0.02
B)0.048
C)100
D)66
Question
Exhibit 11-9
The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.
<strong>Exhibit 11-9 The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.   Refer to Exhibit 11-9. The standard error of   is</strong> A)0.48 B)0.50 C)0.03 D)0.0243 <div style=padding-top: 35px>
Refer to Exhibit 11-9. The standard error of <strong>Exhibit 11-9 The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.   Refer to Exhibit 11-9. The standard error of   is</strong> A)0.48 B)0.50 C)0.03 D)0.0243 <div style=padding-top: 35px> is

A)0.48
B)0.50
C)0.03
D)0.0243
Question
Of 300 female registered voters surveyed, 120 indicated they were planning to vote for the incumbent president; while of 400 male registered voters, 140 indicated they were planning to vote for the incumbent president.
a.Compute the test statistic.
b.At alpha = .05, test to see if there is a significant difference between the proportions of females and males who plan to vote for the incumbent president. (Use the p-value approach.)
Question
Among a sample of 50 M.D.'s (medical doctors) in the city of Memphis, Tennessee, 10 indicated they make house calls; while among a sample of 100 M.D.'s in Atlanta, Georgia, 18 said they make house calls. Determine a 95% interval estimate for the difference between the proportion of doctors who make house calls in the two cities.
Question
Of 150 Chattanooga residents surveyed, 60 indicated that they participated in a recycling program. In Knoxville, 120 residents were surveyed and 36 claimed to recycle.
a.Determine a 95% confidence interval estimate for the difference between the proportion of residents recycling in the two cities.
b.From your answer in Part a, is there sufficient evidence to conclude that there is a significant difference in the proportion of residents participating in a recycling program?
Question
During the recent primary elections, the democratic presidential candidate showed the following pre-election voter support in Alabama and Mississippi.
During the recent primary elections, the democratic presidential candidate showed the following pre-election voter support in Alabama and Mississippi.   a.We want to determine whether or not the proportions of voters favoring the Democratic candidate were the same in both states. Provide the hypotheses. b.Compute the test statistic. c.Determine the p-value; and at 95% confidence, test the above hypotheses.<div style=padding-top: 35px>
a.We want to determine whether or not the proportions of voters favoring the Democratic candidate were the same in both states. Provide the hypotheses.
b.Compute the test statistic.
c.Determine the p-value; and at 95% confidence, test the above hypotheses.
Question
Before the start of the Winter Olympics, it was expected that the percentages of medals awarded to the top contenders to be as follows.
 Before the start of the Winter Olympics, it was expected that the percentages of medals awarded to the top contenders to be as follows.   Midway through the Olympics, of the 120 medals awarded, the following distribution was observed.   We want to test to see if there is a significant difference between the expected and actual awards given. a.Compute the test statistic. b.Using the p-value approach, test to see if there is a significant difference between the expected and the actual values. Let  \alpha  = .05. c.At 95% confidence, test for a significant difference using the critical value approach.<div style=padding-top: 35px>  Midway through the Olympics, of the 120 medals awarded, the following distribution was observed.  Before the start of the Winter Olympics, it was expected that the percentages of medals awarded to the top contenders to be as follows.   Midway through the Olympics, of the 120 medals awarded, the following distribution was observed.   We want to test to see if there is a significant difference between the expected and actual awards given. a.Compute the test statistic. b.Using the p-value approach, test to see if there is a significant difference between the expected and the actual values. Let  \alpha  = .05. c.At 95% confidence, test for a significant difference using the critical value approach.<div style=padding-top: 35px>
We want to test to see if there is a significant difference between the expected and actual awards given.
a.Compute the test statistic.
b.Using the p-value approach, test to see if there is a significant difference between the expected and the actual values. Let α\alpha = .05.
c.At 95% confidence, test for a significant difference using the critical value approach.
Question
From production line A, a sample of 500 items is selected at random, and it is determined that 30 items are defective. In a sample of 300 items from production process B (which produces identical items to line A), there are 12 defective items. Determine a 95% confidence interval estimate for the difference between the proportion of defectives in the two lines.
Question
The office of records at a university has stated that the proportion of incoming female students who major in business has increased. A sample of female students taken several years ago is compared with a sample of female students this year. Results are summarized below. Has the proportion increased significantly? Test at α\alpha = 0.10.
 The office of records at a university has stated that the proportion of incoming female students who major in business has increased. A sample of female students taken several years ago is compared with a sample of female students this year. Results are summarized below. Has the proportion increased significantly? Test at  \alpha  = 0.10.  <div style=padding-top: 35px>
Question
The personnel department of a large corporation reported sixty resignations during the last year. The following table groups these resignations according to the season in which they occurred:
 The personnel department of a large corporation reported sixty resignations during the last year. The following table groups these resignations according to the season in which they occurred:   Test to see if the number of resignations is uniform over the four seasons. Let  \alpha  = 0.05.<div style=padding-top: 35px>
Test to see if the number of resignations is uniform over the four seasons.
Let α\alpha = 0.05.
Question
Before the presidential debates, it was expected that the percentages of registered voters in favor of various candidates would be as follows.
 Before the presidential debates, it was expected that the percentages of registered voters in favor of various candidates would be as follows.   After the presidential debates, a random sample of 1200 voters showed that 540 favored the Democratic candidate; 480 were in favor of the Republican candidate; 40 were in favor of the Independent candidate, and 140 were undecided. We want to see if the proportion of voters has changed. a.Compute the test statistic. b.Use the p-value approach to test the hypotheses. Let  \alpha  = .05. c.Using the critical value approach, test the hypotheses. Let  \alpha  = .05.<div style=padding-top: 35px>
After the presidential debates, a random sample of 1200 voters showed that 540 favored the Democratic candidate; 480 were in favor of the Republican candidate; 40 were in favor of the Independent candidate, and 140 were undecided. We want to see if the proportion of voters has changed.
a.Compute the test statistic.
b.Use the p-value approach to test the hypotheses. Let α\alpha = .05.
c.Using the critical value approach, test the hypotheses. Let α\alpha = .05.
Question
In a random sample of 200 Republicans, 160 opposed the new tax laws. While in a sample of 120 Democrats, 84 opposed the new tax laws. Determine a 95% confidence interval estimate for the difference between the proportions of Republicans and Democrats opposed to this new law.
Question
The results of a recent study regarding smoking and three types of illness are shown in the following table.
The results of a recent study regarding smoking and three types of illness are shown in the following table.   We are interested in determining whether or not illness is independent of smoking. a.State the null and alternative hypotheses to be tested. b.Show the contingency table of the expected frequencies. c.Compute the test statistic. d.The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude? e. Determine the p-value and perform the test.<div style=padding-top: 35px> We are interested in determining whether or not illness is independent of smoking.
a.State the null and alternative hypotheses to be tested.
b.Show the contingency table of the expected frequencies.
c.Compute the test statistic.
d.The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude?
e.
Determine the p-value and perform the test.
Question
Before the rush began for Christmas shopping, a department store had noted that the percentage of its customers who use the store's credit card, the percentage of those who use a major credit card, and the percentage of those who pay cash are the same. During the Christmas rush in a sample of 150 shoppers, 46 used the store's credit card; 43 used a major credit card; and 61 paid cash. With α\alpha = 0.05, test to see if the methods of payment have changed during the Christmas rush.
Question
In the last presidential election, before the candidates started their major campaigns, the percentages of registered voters who favored the various candidates were as follows.
In the last presidential election, before the candidates started their major campaigns, the percentages of registered voters who favored the various candidates were as follows.   After the major campaigns began, a random sample of 400 voters showed that 172 favored the Republican candidate; 164 were in favor of the Democratic candidate; and 64 favored the Independent candidate. We are interested in determining whether the proportion of voters who favored the various candidates had changed. a.Compute the test statistic. b.Using the p-value approach, test to see if the proportions have changed. c.Using the critical value approach, test the hypotheses.<div style=padding-top: 35px>
After the major campaigns began, a random sample of 400 voters showed that 172 favored the Republican candidate; 164 were in favor of the Democratic candidate; and 64 favored the Independent candidate. We are interested in determining whether the proportion of voters who favored the various candidates had changed.
a.Compute the test statistic.
b.Using the p-value approach, test to see if the proportions have changed.
c.Using the critical value approach, test the hypotheses.
Question
The reliability of two types of machines used in the same manufacturing process is to be tested. The first machine failed to operate correctly in 90 out of 300 trials while the second type failed to operate correctly in 50 out of 250 trials.
a.Give a point estimate for the difference between the population proportions of these machines.
b.Calculate the pooled estimate of the population proportion.
c.Carry out a hypothesis test to check whether there is a statistically significant difference in the reliability for the two types of machines using a .10 level of significance.
Question
Babies weighing less than 5.5 pounds at birth are considered "low-birth-weight babies." In the United States, 7.6% of newborns are low-birth-weight babies. The following information was accumulated from samples of new births taken from two counties.
Babies weighing less than 5.5 pounds at birth are considered low-birth-weight babies. In the United States, 7.6% of newborns are low-birth-weight babies. The following information was accumulated from samples of new births taken from two counties.   a.Develop a 95% confidence interval estimate for the difference between the proportions of low-birth-weight babies in the two counties. b.Is there conclusive evidence that one of the proportions is significantly more than the other? If yes, which county? Explain, using the results of part (a). Do not perform any test.<div style=padding-top: 35px>
a.Develop a 95% confidence interval estimate for the difference between the proportions of low-birth-weight babies in the two counties.
b.Is there conclusive evidence that one of the proportions is significantly more than the other? If yes, which county? Explain, using the results of part (a). Do not perform any test.
Question
Among 1,000 managers with degrees in business administration, the following data have been accumulated as to their fields of concentration.
 Among 1,000 managers with degrees in business administration, the following data have been accumulated as to their fields of concentration.   We want to determine if the position in management is independent of field (major) of concentration. a.Compute the test statistic. b.Using the p-value approach at 90% confidence, test to determine if management position is independent of major. c.Using the critical value approach, test the hypotheses. Let  \alpha  = 0.10.<div style=padding-top: 35px>
We want to determine if the position in management is independent of field (major) of concentration.
a.Compute the test statistic.
b.Using the p-value approach at 90% confidence, test to determine if management position is independent of major.
c.Using the critical value approach, test the hypotheses. Let α\alpha = 0.10.
Question
During the first few weeks of the new television season, the evening news audience proportions were recorded as ABC- 31%, CBS- 34%, and NBC- 35%. A sample of 600 homes yielded the following viewing audience data. During the first few weeks of the new television season, the evening news audience proportions were recorded as ABC- 31%, CBS- 34%, and NBC- 35%. A sample of 600 homes yielded the following viewing audience data.   We want to determine whether or not there has been a significant change in the number of viewing audience of the three networks. a.State the null and alternative hypotheses to be tested. b.Compute the expected frequencies. c.Compute the test statistic. d.The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude? e. Determine the p-value and perform the test.<div style=padding-top: 35px> We want to determine whether or not there has been a significant change in the number of viewing audience of the three networks.
a.State the null and alternative hypotheses to be tested.
b.Compute the expected frequencies.
c.Compute the test statistic.
d.The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude?
e.
Determine the p-value and perform the test.
Question
A poll was taken this year asking college students if they considered themselves overweight. A similar poll was taken five years ago. Results are summarized below. Has the proportion increased significantly? Let α\alpha = 0.05.
 A poll was taken this year asking college students if they considered themselves overweight. A similar poll was taken five years ago. Results are summarized below. Has the proportion increased significantly? Let  \alpha  = 0.05.  <div style=padding-top: 35px>
Question
A major automobile manufacturer claimed that the frequencies of repairs on all five models of its cars are the same. A sample of 200 repair services showed the following frequencies on the various makes of cars.
 A major automobile manufacturer claimed that the frequencies of repairs on all five models of its cars are the same. A sample of 200 repair services showed the following frequencies on the various makes of cars.   At  \alpha  = 0.05, test the manufacturer's claim.<div style=padding-top: 35px>
At α\alpha = 0.05, test the manufacturer's claim.
Question
A medical journal reported the following frequencies of deaths due to cardiac arrest for each day of the week:
A medical journal reported the following frequencies of deaths due to cardiac arrest for each day of the week:   We want to determine whether the number of deaths is uniform over the week. a.Compute the test statistic. b.Using the p-value approach at 95% confidence, test for the uniformity of death over the week. c.Using the critical value approach, perform the test for uniformity.<div style=padding-top: 35px>
We want to determine whether the number of deaths is uniform over the week.
a.Compute the test statistic.
b.Using the p-value approach at 95% confidence, test for the uniformity of death over the week.
c.Using the critical value approach, perform the test for uniformity.
Question
The results of a recent poll on the preference of voters regarding presidential candidates are shown below.
The results of a recent poll on the preference of voters regarding presidential candidates are shown below.   At 95% confidence, test to determine whether or not there is a significant difference between the preferences for the two candidates.<div style=padding-top: 35px> At 95% confidence, test to determine whether or not there is a significant difference between the preferences for the two candidates.
Question
Last school year, in the school of Business Administration, 30% were Accounting majors, 24% Management majors, 26% Marketing majors, and 20% Economics majors. A sample of 300 students taken from this year's students of the school showed the following number of students in each major:
 Last school year, in the school of Business Administration, 30% were Accounting majors, 24% Management majors, 26% Marketing majors, and 20% Economics majors. A sample of 300 students taken from this year's students of the school showed the following number of students in each major:   We want to see if there has been a significant change in the number of students in each major. a.Compute the test statistic. b.Has there been any significant change in the number of students in each major between the last school year and this school year. Use the p-value approach and let  \alpha  = .05.<div style=padding-top: 35px>
We want to see if there has been a significant change in the number of students in each major.
a.Compute the test statistic.
b.Has there been any significant change in the number of students in each major between the last school year and this school year. Use the p-value approach and let α\alpha = .05.
Question
In 2009, forty percent of the students at a major university were Business majors, 35% were Engineering majors and the rest of the students were majoring in other fields. In a sample of 600 students from the same university taken in 2010, two hundred were Business majors, 220 were Engineering majors and the remaining students in the sample were majoring in other fields. At 95% confidence, test to see if there has been a significant change in the proportions between 2009 and 2010.
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Deck 11: Comparisons Involving Proportions and a Test of Independence
1
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The expected number of freshmen is</strong> A)83 B)90 C)30 D)10 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. The expected number of freshmen is

A)83
B)90
C)30
D)10
B
2
The sampling distribution for a goodness of fit test is the

A)Poisson distribution
B)t distribution
C)normal distribution
D)chi-square distribution
D
3
A statistical test conducted to determine whether to reject or not reject a hypothesized probability distribution for a population is known as a

A)contingency test
B)probability test
C)goodness of fit test
D)None of these alternatives is correct.
C
4
In order not to violate the requirements necessary to use the chi-square distribution, each expected frequency in a goodness of fit test must be

A)at least 5
B)at least 10
C)no more than 5
D)less than 2
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5
The degrees of freedom for a contingency table with 10 rows and 11 columns is

A)100
B)110
C)21
D)90
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6
The number of degrees of freedom for the appropriate chi-square distribution in a test of independence is

A)n-1
B)K-1
C)number of rows minus 1 times number of columns minus 1
D)a chi-square distribution is not used
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7
The degrees of freedom for a contingency table with 12 rows and 12 columns is

A)144
B)121
C)12
D)120
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8
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The calculated value for the test statistic equals</strong> A)2 B)-2 C)20 D)4 We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The calculated value for the test statistic equals

A)2
B)-2
C)20
D)4
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9
If we are interested in testing whether the proportion of items in population 1 is larger than the proportion of items in population 2, the

A)null hypothesis should state P1 - P2 < 0
B)null hypothesis should state P1 - P2 > 0
C)alternative hypothesis should state P1 - P2 > 0
D)alternative hypothesis should state P1 - P2 < 0
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10
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The conclusion of the test (at 95% confidence) is that the</strong> A)distribution is uniform B)distribution is not uniform C)test is inconclusive D)None of these alternatives is correct. We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The conclusion of the test (at 95% confidence) is that the

A)distribution is uniform
B)distribution is not uniform
C)test is inconclusive
D)None of these alternatives is correct.
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11
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The expected frequency for each group is</strong> A)0.333 B)0.50 C)1/3 D)50 We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The expected frequency for each group is

A)0.333
B)0.50
C)1/3
D)50
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12
The degrees of freedom for a contingency table with 6 rows and 3 columns is

A)18
B)15
C)6
D)10
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13
A goodness of fit test is always conducted as a

A)lower-tail test
B)upper-tail test
C)middle test
D)None of these alternatives is correct.
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14
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The number of degrees of freedom associated with this problem is</strong> A)150 B)149 C)2 D)3 We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The number of degrees of freedom associated with this problem is

A)150
B)149
C)2
D)3
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15
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The expected frequency of seniors is</strong> A)60 B)20% C)68 D)64 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. The expected frequency of seniors is

A)60
B)20%
C)68
D)64
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16
A population where each element of the population is assigned to one and only one of several classes or categories is a

A)multinomial population
B)Poisson population
C)normal population
D)None of these alternatives is correct.
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17
The sampling distribution of <strong>The sampling distribution of   is approximated by a</strong> A)normal distribution B)t-distribution with n<sub>1</sub> + n<sub>2</sub> degrees of freedom C)t-distribution with n<sub>1</sub> + n<sub>2</sub> - 1 degrees of freedom D)t-distribution with n<sub>1</sub> + n<sub>2</sub> + 2 degrees of freedom is approximated by a

A)normal distribution
B)t-distribution with n1 + n2 degrees of freedom
C)t-distribution with n1 + n2 - 1 degrees of freedom
D)t-distribution with n1 + n2 + 2 degrees of freedom
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18
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The calculated value for the test statistic equals</strong> A)0.5444 B)300 C)1.6615 D)6.6615 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. The calculated value for the test statistic equals

A)0.5444
B)300
C)1.6615
D)6.6615
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19
An important application of the chi-square distribution is

A)making inferences about a single population variance
B)testing for goodness of fit
C)testing for the independence of two variables
D)All of these alternatives are correct.
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20
Exhibit 11-1
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. <strong>Exhibit 11-1 When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained.   We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. Refer to Exhibit 11-1. The p-value is</strong> A)larger than 0.1 B)less than 0.1 C)less than 0.05 D)larger than 0.9 We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Refer to Exhibit 11-1. The p-value is

A)larger than 0.1
B)less than 0.1
C)less than 0.05
D)larger than 0.9
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21
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The expected frequency of those who received medication and were cured is</strong> A)70 B)150 C)28 D)48 We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The expected frequency of those who received medication and were cured is

A)70
B)150
C)28
D)48
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22
Exhibit 11-6
The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.
<strong>Exhibit 11-6 The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.   We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed. Refer to Exhibit 11-6. The number of degrees of freedom associated with this problem is</strong> A)2 B)3 C)300 D)299 We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed.
Refer to Exhibit 11-6. The number of degrees of freedom associated with this problem is

A)2
B)3
C)300
D)299
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23
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The p-value is</strong> A)less than .005 B)between .025 and 0.05 C)between .05 and 0.1 D)greater than 0.1 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. The p-value is

A)less than .005
B)between .025 and 0.05
C)between .05 and 0.1
D)greater than 0.1
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24
Exhibit 11-5
The table below gives beverage preferences for random samples of teens and adults.
<strong>Exhibit 11-5 The table below gives beverage preferences for random samples of teens and adults.   We are asked to test for independence between age (i.e., adult and teen) and drink preferences. Refer to Exhibit 11-5. With a .05 level of significance, the critical value for the test is</strong> A)1.645 B)7.815 C)14.067 D)15.507 We are asked to test for independence between age (i.e., adult and teen) and drink preferences.
Refer to Exhibit 11-5. With a .05 level of significance, the critical value for the test is

A)1.645
B)7.815
C)14.067
D)15.507
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25
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.
<strong>Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification.   We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. At 95% confidence, the null hypothesis</strong> A)should not be rejected B)should be rejected C)was designed wrong D)None of these alternatives is correct. We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year.
Refer to Exhibit 11-2. At 95% confidence, the null hypothesis

A)should not be rejected
B)should be rejected
C)was designed wrong
D)None of these alternatives is correct.
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26
Exhibit 11-6
The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.
<strong>Exhibit 11-6 The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.   We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed. Refer to Exhibit 11-6. The calculated value for the test statistic equals</strong> A)300 B)4 C)0 D)8 We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed.
Refer to Exhibit 11-6. The calculated value for the test statistic equals

A)300
B)4
C)0
D)8
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27
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The number of degrees of freedom associated with this problem is</strong> A)4 B)149 C)1 D)3 We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The number of degrees of freedom associated with this problem is

A)4
B)149
C)1
D)3
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28
Exhibit 11-5
The table below gives beverage preferences for random samples of teens and adults.
<strong>Exhibit 11-5 The table below gives beverage preferences for random samples of teens and adults.   We are asked to test for independence between age (i.e., adult and teen) and drink preferences. Refer to Exhibit 11-5. The p-value is</strong> A)between .1 and .05 B)between .05 and .025 C)between .025 and .01 D)less than 0.005 We are asked to test for independence between age (i.e., adult and teen) and drink preferences.
Refer to Exhibit 11-5. The p-value is

A)between .1 and .05
B)between .05 and .025
C)between .025 and .01
D)less than 0.005
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29
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The conclusion of the test is that the

A)proportions have changed significantly
B)proportions have not changed significantly
C)test is inconclusive
D)None of these alternatives is correct.
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30
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals

A)1.645
B)1.96
C)5.991
D)7.815
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31
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The p-value is

A)greater than 0.1
B)between 0.05 and 0.1
C)between 0.025 and 0.05
D)between 0.01 and .025
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32
Exhibit 11-6
The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.
<strong>Exhibit 11-6 The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.   We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed. Refer to Exhibit 11-6. The expected frequency for each group is</strong> A)0.333 B)0.50 C)50 D)None of these alternatives is correct. We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed.
Refer to Exhibit 11-6. The expected frequency for each group is

A)0.333
B)0.50
C)50
D)None of these alternatives is correct.
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33
Exhibit 11-5
The table below gives beverage preferences for random samples of teens and adults.
<strong>Exhibit 11-5 The table below gives beverage preferences for random samples of teens and adults.   We are asked to test for independence between age (i.e., adult and teen) and drink preferences. Refer to Exhibit 11-5. The test statistic for this test of independence is</strong> A)0 B)8.4 C)62.5 D)82.5 We are asked to test for independence between age (i.e., adult and teen) and drink preferences.
Refer to Exhibit 11-5. The test statistic for this test of independence is

A)0
B)8.4
C)62.5
D)82.5
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34
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The test statistic is</strong> A)10.08 B)54.02 C)1.96 D)1.645 We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The test statistic is

A)10.08
B)54.02
C)1.96
D)1.645
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35
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The calculated value for the test statistic equals

A)0.01
B)0.75
C)4.29
D)4.38
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36
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. This problem is an example of a

A)normally distributed variable
B)test for independence
C)Poisson distributed variable
D)multinomial population
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37
Exhibit 11-5
The table below gives beverage preferences for random samples of teens and adults.
<strong>Exhibit 11-5 The table below gives beverage preferences for random samples of teens and adults.   We are asked to test for independence between age (i.e., adult and teen) and drink preferences. Refer to Exhibit 11-5. The expected number of adults who prefer coffee is</strong> A)0.25 B)0.33 C)150 D)200 We are asked to test for independence between age (i.e., adult and teen) and drink preferences.
Refer to Exhibit 11-5. The expected number of adults who prefer coffee is

A)0.25
B)0.33
C)150
D)200
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38
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The p-value is</strong> A)less than .005 B)between .005 and .01 C)between .01 and .025 D)between .025 and .05 We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The p-value is

A)less than .005
B)between .005 and .01
C)between .01 and .025
D)between .025 and .05
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39
Exhibit 11-4
In the past, 35% of the students at ABC University were in the Business College, 35% of the students were in the Liberal Arts College, and 30% of the students were in the Education College. To see whether or not the proportions have changed, a sample of 300 students was taken. Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Refer to Exhibit 11-4. The expected frequency for the Business College is

A)0.3
B)0.35
C)90
D)105
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40
Exhibit 11-3
In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.
<strong>Exhibit 11-3 In order to determine whether or not a particular medication was effective in curing the common cold, one group of patients was given the medication, while another group received sugar pills. The results of the study are shown below.   We are interested in determining whether or not the medication was effective in curing the common cold. Refer to Exhibit 11-3. The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals</strong> A)3.84 B)7.81 C)5.99 D)9.34 We are interested in determining whether or not the medication was effective in curing the common cold.
Refer to Exhibit 11-3. The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals

A)3.84
B)7.81
C)5.99
D)9.34
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41
Exhibit 11-8
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.
 <strong>Exhibit 11-8 An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.   We are interested in determining if the accident proportions differ between the two age groups.  -Refer to Exhibit 11-8 and let p<sub>u</sub> represent the proportion under and po the proportion over the age of 18. The null hypothesis is</strong> A)p<sub>u</sub> - p<sub>o</sub>  \le  0 B)p<sub>u</sub> - p<sub>o</sub>  \ge  0 C)p<sub>u</sub> - p<sub>o</sub>  \neq  0 D)p<sub>u</sub> - p<sub>o</sub> = 0  We are interested in determining if the accident proportions differ between the two age groups.

-Refer to Exhibit 11-8 and let pu represent the proportion under and po the proportion over the age of 18. The null hypothesis is

A)pu - po \le 0
B)pu - po \ge 0
C)pu - po \neq 0
D)pu - po = 0
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42
In a sample of 40 Democrats, 6 opposed the President's foreign policy, while of 50 Republicans, 8 were opposed to his policy. Determine a 90% confidence interval estimate for the difference between the proportions of the opinions of the individuals in the two parties.
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43
In a sample of 100 Republicans, 60 favored the President's anti-drug program. While in a sample of 150 Democrats, 84 favored his program. At 95% confidence, test to see if there is a significant difference in the proportions of the Democrats and the Republicans who favored the President's anti-drug program.
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44
During the primary elections of 1996, candidate A showed the following pre-election voter support in Tennessee and Mississippi.
During the primary elections of 1996, candidate A showed the following pre-election voter support in Tennessee and Mississippi.   a.Develop a 95% confidence interval estimate for the difference between the proportion of voters favoring candidate A in the two states. b.Is there conclusive evidence that one of the two states had a larger proportion of voters' support? If yes, which state? Explain.
a.Develop a 95% confidence interval estimate for the difference between the proportion of voters favoring candidate A in the two states.
b.Is there conclusive evidence that one of the two states had a larger proportion of voters' support? If yes, which state? Explain.
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45
Exhibit 11-8
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.
<strong>Exhibit 11-8 An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.   We are interested in determining if the accident proportions differ between the two age groups. Refer to Exhibit 11-8. The p-value is</strong> A)less than 0.001 B)more than 0.10 C)0.0228 D)0.3 We are interested in determining if the accident proportions differ between the two age groups.
Refer to Exhibit 11-8. The p-value is

A)less than 0.001
B)more than 0.10
C)0.0228
D)0.3
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46
Exhibit 11-7
The results of a recent poll on the preference of shoppers regarding two products are shown below.
<strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. The point estimate for the difference between the two population proportions in favor of this product is</strong> A)52 B)100 C)0.44 D)0.02
Refer to Exhibit 11-7. The point estimate for the difference between the two population proportions in favor of this product is

A)52
B)100
C)0.44
D)0.02
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47
Exhibit 11-7
The results of a recent poll on the preference of shoppers regarding two products are shown below.
<strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. The standard error of   is</strong> A)52 B)0.044 C)0.0225 D)100
Refer to Exhibit 11-7. The standard error of <strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. The standard error of   is</strong> A)52 B)0.044 C)0.0225 D)100 is

A)52
B)0.044
C)0.0225
D)100
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48
A comparative study of organic and conventionally grown produce was checked for the presence of E. coli. Results are summarized below. Is there a significant difference in the proportion of E. Coli in organic vs. conventionally grown produce? Test at α\alpha = 0.10.
 A comparative study of organic and conventionally grown produce was checked for the presence of E. coli. Results are summarized below. Is there a significant difference in the proportion of E. Coli in organic vs. conventionally grown produce? Test at  \alpha  = 0.10.
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49
Exhibit 11-8
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.
<strong>Exhibit 11-8 An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.   We are interested in determining if the accident proportions differ between the two age groups. Refer to Exhibit 11-8. The test statistic is</strong> A)0.96 B)1.96 C)2.96 D)3.96 We are interested in determining if the accident proportions differ between the two age groups.
Refer to Exhibit 11-8. The test statistic is

A)0.96
B)1.96
C)2.96
D)3.96
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50
Exhibit 11-9
The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.
<strong>Exhibit 11-9 The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.   Refer to Exhibit 11-9. The 95% confidence interval for the difference between the two proportions is</strong> A)384 to 450 B)0.48 to 0.5 C)0.028 to 0.068 D)-0.068 to 0.028
Refer to Exhibit 11-9. The 95% confidence interval for the difference between the two proportions is

A)384 to 450
B)0.48 to 0.5
C)0.028 to 0.068
D)-0.068 to 0.028
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51
Exhibit 11-7
The results of a recent poll on the preference of shoppers regarding two products are shown below.
<strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. The 95% confidence interval estimate for the difference between the populations favoring the products is</strong> A)-0.024 to 0.064 B)0.6 to 0.7 C)0.024 to 0.7 D)0.02 to 0.3
Refer to Exhibit 11-7. The 95% confidence interval estimate for the difference between the populations favoring the products is

A)-0.024 to 0.064
B)0.6 to 0.7
C)0.024 to 0.7
D)0.02 to 0.3
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52
The results of a recent poll on the preference of voters regarding the presidential candidates are shown below.
The results of a recent poll on the preference of voters regarding the presidential candidates are shown below.   a.Develop a 90% confidence interval estimate for the difference between the proportion of voters favoring each candidate. b.Does your confidence interval provide conclusive evidence that one of the candidates is favored more? Explain.
a.Develop a 90% confidence interval estimate for the difference between the proportion of voters favoring each candidate.
b.Does your confidence interval provide conclusive evidence that one of the candidates is favored more? Explain.
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53
Exhibit 11-8
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.
<strong>Exhibit 11-8 An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.   We are interested in determining if the accident proportions differ between the two age groups. Refer to Exhibit 11-8. The pooled proportion is</strong> A)0.305 B)0.300 C)0.027 D)0.450 We are interested in determining if the accident proportions differ between the two age groups.
Refer to Exhibit 11-8. The pooled proportion is

A)0.305
B)0.300
C)0.027
D)0.450
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54
Exhibit 11-7
The results of a recent poll on the preference of shoppers regarding two products are shown below.
<strong>Exhibit 11-7 The results of a recent poll on the preference of shoppers regarding two products are shown below.   Refer to Exhibit 11-7. At 95% confidence, the margin of error is</strong> A)0.064 B)0.044 C)0.0225 D)52
Refer to Exhibit 11-7. At 95% confidence, the margin of error is

A)0.064
B)0.044
C)0.0225
D)52
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55
Of 200 UTC seniors surveyed, 60 were planning on attending Graduate School. At UTK, 400 seniors were surveyed and 100 indicated that they were planning to attend Graduate School.
a.Determine a 95% confidence interval estimate for the difference between the proportion of seniors at the two universities that were planning to attend Graduate School.
b.Is there conclusive evidence to prove that the proportion of students from UTC who plan to go to Graduate School is significantly more than those from UTK? Explain.
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56
Exhibit 11-9
The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.
<strong>Exhibit 11-9 The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.   Refer to Exhibit 11-9. The point estimate for the difference between the proportions is</strong> A)-0.02 B)0.048 C)100 D)66
Refer to Exhibit 11-9. The point estimate for the difference between the proportions is

A)-0.02
B)0.048
C)100
D)66
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57
Exhibit 11-9
The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.
<strong>Exhibit 11-9 The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.   Refer to Exhibit 11-9. The standard error of   is</strong> A)0.48 B)0.50 C)0.03 D)0.0243
Refer to Exhibit 11-9. The standard error of <strong>Exhibit 11-9 The results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below.   Refer to Exhibit 11-9. The standard error of   is</strong> A)0.48 B)0.50 C)0.03 D)0.0243 is

A)0.48
B)0.50
C)0.03
D)0.0243
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58
Of 300 female registered voters surveyed, 120 indicated they were planning to vote for the incumbent president; while of 400 male registered voters, 140 indicated they were planning to vote for the incumbent president.
a.Compute the test statistic.
b.At alpha = .05, test to see if there is a significant difference between the proportions of females and males who plan to vote for the incumbent president. (Use the p-value approach.)
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59
Among a sample of 50 M.D.'s (medical doctors) in the city of Memphis, Tennessee, 10 indicated they make house calls; while among a sample of 100 M.D.'s in Atlanta, Georgia, 18 said they make house calls. Determine a 95% interval estimate for the difference between the proportion of doctors who make house calls in the two cities.
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60
Of 150 Chattanooga residents surveyed, 60 indicated that they participated in a recycling program. In Knoxville, 120 residents were surveyed and 36 claimed to recycle.
a.Determine a 95% confidence interval estimate for the difference between the proportion of residents recycling in the two cities.
b.From your answer in Part a, is there sufficient evidence to conclude that there is a significant difference in the proportion of residents participating in a recycling program?
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61
During the recent primary elections, the democratic presidential candidate showed the following pre-election voter support in Alabama and Mississippi.
During the recent primary elections, the democratic presidential candidate showed the following pre-election voter support in Alabama and Mississippi.   a.We want to determine whether or not the proportions of voters favoring the Democratic candidate were the same in both states. Provide the hypotheses. b.Compute the test statistic. c.Determine the p-value; and at 95% confidence, test the above hypotheses.
a.We want to determine whether or not the proportions of voters favoring the Democratic candidate were the same in both states. Provide the hypotheses.
b.Compute the test statistic.
c.Determine the p-value; and at 95% confidence, test the above hypotheses.
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62
Before the start of the Winter Olympics, it was expected that the percentages of medals awarded to the top contenders to be as follows.
 Before the start of the Winter Olympics, it was expected that the percentages of medals awarded to the top contenders to be as follows.   Midway through the Olympics, of the 120 medals awarded, the following distribution was observed.   We want to test to see if there is a significant difference between the expected and actual awards given. a.Compute the test statistic. b.Using the p-value approach, test to see if there is a significant difference between the expected and the actual values. Let  \alpha  = .05. c.At 95% confidence, test for a significant difference using the critical value approach. Midway through the Olympics, of the 120 medals awarded, the following distribution was observed.  Before the start of the Winter Olympics, it was expected that the percentages of medals awarded to the top contenders to be as follows.   Midway through the Olympics, of the 120 medals awarded, the following distribution was observed.   We want to test to see if there is a significant difference between the expected and actual awards given. a.Compute the test statistic. b.Using the p-value approach, test to see if there is a significant difference between the expected and the actual values. Let  \alpha  = .05. c.At 95% confidence, test for a significant difference using the critical value approach.
We want to test to see if there is a significant difference between the expected and actual awards given.
a.Compute the test statistic.
b.Using the p-value approach, test to see if there is a significant difference between the expected and the actual values. Let α\alpha = .05.
c.At 95% confidence, test for a significant difference using the critical value approach.
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63
From production line A, a sample of 500 items is selected at random, and it is determined that 30 items are defective. In a sample of 300 items from production process B (which produces identical items to line A), there are 12 defective items. Determine a 95% confidence interval estimate for the difference between the proportion of defectives in the two lines.
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64
The office of records at a university has stated that the proportion of incoming female students who major in business has increased. A sample of female students taken several years ago is compared with a sample of female students this year. Results are summarized below. Has the proportion increased significantly? Test at α\alpha = 0.10.
 The office of records at a university has stated that the proportion of incoming female students who major in business has increased. A sample of female students taken several years ago is compared with a sample of female students this year. Results are summarized below. Has the proportion increased significantly? Test at  \alpha  = 0.10.
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65
The personnel department of a large corporation reported sixty resignations during the last year. The following table groups these resignations according to the season in which they occurred:
 The personnel department of a large corporation reported sixty resignations during the last year. The following table groups these resignations according to the season in which they occurred:   Test to see if the number of resignations is uniform over the four seasons. Let  \alpha  = 0.05.
Test to see if the number of resignations is uniform over the four seasons.
Let α\alpha = 0.05.
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66
Before the presidential debates, it was expected that the percentages of registered voters in favor of various candidates would be as follows.
 Before the presidential debates, it was expected that the percentages of registered voters in favor of various candidates would be as follows.   After the presidential debates, a random sample of 1200 voters showed that 540 favored the Democratic candidate; 480 were in favor of the Republican candidate; 40 were in favor of the Independent candidate, and 140 were undecided. We want to see if the proportion of voters has changed. a.Compute the test statistic. b.Use the p-value approach to test the hypotheses. Let  \alpha  = .05. c.Using the critical value approach, test the hypotheses. Let  \alpha  = .05.
After the presidential debates, a random sample of 1200 voters showed that 540 favored the Democratic candidate; 480 were in favor of the Republican candidate; 40 were in favor of the Independent candidate, and 140 were undecided. We want to see if the proportion of voters has changed.
a.Compute the test statistic.
b.Use the p-value approach to test the hypotheses. Let α\alpha = .05.
c.Using the critical value approach, test the hypotheses. Let α\alpha = .05.
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67
In a random sample of 200 Republicans, 160 opposed the new tax laws. While in a sample of 120 Democrats, 84 opposed the new tax laws. Determine a 95% confidence interval estimate for the difference between the proportions of Republicans and Democrats opposed to this new law.
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68
The results of a recent study regarding smoking and three types of illness are shown in the following table.
The results of a recent study regarding smoking and three types of illness are shown in the following table.   We are interested in determining whether or not illness is independent of smoking. a.State the null and alternative hypotheses to be tested. b.Show the contingency table of the expected frequencies. c.Compute the test statistic. d.The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude? e. Determine the p-value and perform the test. We are interested in determining whether or not illness is independent of smoking.
a.State the null and alternative hypotheses to be tested.
b.Show the contingency table of the expected frequencies.
c.Compute the test statistic.
d.The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude?
e.
Determine the p-value and perform the test.
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69
Before the rush began for Christmas shopping, a department store had noted that the percentage of its customers who use the store's credit card, the percentage of those who use a major credit card, and the percentage of those who pay cash are the same. During the Christmas rush in a sample of 150 shoppers, 46 used the store's credit card; 43 used a major credit card; and 61 paid cash. With α\alpha = 0.05, test to see if the methods of payment have changed during the Christmas rush.
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70
In the last presidential election, before the candidates started their major campaigns, the percentages of registered voters who favored the various candidates were as follows.
In the last presidential election, before the candidates started their major campaigns, the percentages of registered voters who favored the various candidates were as follows.   After the major campaigns began, a random sample of 400 voters showed that 172 favored the Republican candidate; 164 were in favor of the Democratic candidate; and 64 favored the Independent candidate. We are interested in determining whether the proportion of voters who favored the various candidates had changed. a.Compute the test statistic. b.Using the p-value approach, test to see if the proportions have changed. c.Using the critical value approach, test the hypotheses.
After the major campaigns began, a random sample of 400 voters showed that 172 favored the Republican candidate; 164 were in favor of the Democratic candidate; and 64 favored the Independent candidate. We are interested in determining whether the proportion of voters who favored the various candidates had changed.
a.Compute the test statistic.
b.Using the p-value approach, test to see if the proportions have changed.
c.Using the critical value approach, test the hypotheses.
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71
The reliability of two types of machines used in the same manufacturing process is to be tested. The first machine failed to operate correctly in 90 out of 300 trials while the second type failed to operate correctly in 50 out of 250 trials.
a.Give a point estimate for the difference between the population proportions of these machines.
b.Calculate the pooled estimate of the population proportion.
c.Carry out a hypothesis test to check whether there is a statistically significant difference in the reliability for the two types of machines using a .10 level of significance.
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72
Babies weighing less than 5.5 pounds at birth are considered "low-birth-weight babies." In the United States, 7.6% of newborns are low-birth-weight babies. The following information was accumulated from samples of new births taken from two counties.
Babies weighing less than 5.5 pounds at birth are considered low-birth-weight babies. In the United States, 7.6% of newborns are low-birth-weight babies. The following information was accumulated from samples of new births taken from two counties.   a.Develop a 95% confidence interval estimate for the difference between the proportions of low-birth-weight babies in the two counties. b.Is there conclusive evidence that one of the proportions is significantly more than the other? If yes, which county? Explain, using the results of part (a). Do not perform any test.
a.Develop a 95% confidence interval estimate for the difference between the proportions of low-birth-weight babies in the two counties.
b.Is there conclusive evidence that one of the proportions is significantly more than the other? If yes, which county? Explain, using the results of part (a). Do not perform any test.
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73
Among 1,000 managers with degrees in business administration, the following data have been accumulated as to their fields of concentration.
 Among 1,000 managers with degrees in business administration, the following data have been accumulated as to their fields of concentration.   We want to determine if the position in management is independent of field (major) of concentration. a.Compute the test statistic. b.Using the p-value approach at 90% confidence, test to determine if management position is independent of major. c.Using the critical value approach, test the hypotheses. Let  \alpha  = 0.10.
We want to determine if the position in management is independent of field (major) of concentration.
a.Compute the test statistic.
b.Using the p-value approach at 90% confidence, test to determine if management position is independent of major.
c.Using the critical value approach, test the hypotheses. Let α\alpha = 0.10.
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74
During the first few weeks of the new television season, the evening news audience proportions were recorded as ABC- 31%, CBS- 34%, and NBC- 35%. A sample of 600 homes yielded the following viewing audience data. During the first few weeks of the new television season, the evening news audience proportions were recorded as ABC- 31%, CBS- 34%, and NBC- 35%. A sample of 600 homes yielded the following viewing audience data.   We want to determine whether or not there has been a significant change in the number of viewing audience of the three networks. a.State the null and alternative hypotheses to be tested. b.Compute the expected frequencies. c.Compute the test statistic. d.The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude? e. Determine the p-value and perform the test. We want to determine whether or not there has been a significant change in the number of viewing audience of the three networks.
a.State the null and alternative hypotheses to be tested.
b.Compute the expected frequencies.
c.Compute the test statistic.
d.The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude?
e.
Determine the p-value and perform the test.
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75
A poll was taken this year asking college students if they considered themselves overweight. A similar poll was taken five years ago. Results are summarized below. Has the proportion increased significantly? Let α\alpha = 0.05.
 A poll was taken this year asking college students if they considered themselves overweight. A similar poll was taken five years ago. Results are summarized below. Has the proportion increased significantly? Let  \alpha  = 0.05.
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76
A major automobile manufacturer claimed that the frequencies of repairs on all five models of its cars are the same. A sample of 200 repair services showed the following frequencies on the various makes of cars.
 A major automobile manufacturer claimed that the frequencies of repairs on all five models of its cars are the same. A sample of 200 repair services showed the following frequencies on the various makes of cars.   At  \alpha  = 0.05, test the manufacturer's claim.
At α\alpha = 0.05, test the manufacturer's claim.
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77
A medical journal reported the following frequencies of deaths due to cardiac arrest for each day of the week:
A medical journal reported the following frequencies of deaths due to cardiac arrest for each day of the week:   We want to determine whether the number of deaths is uniform over the week. a.Compute the test statistic. b.Using the p-value approach at 95% confidence, test for the uniformity of death over the week. c.Using the critical value approach, perform the test for uniformity.
We want to determine whether the number of deaths is uniform over the week.
a.Compute the test statistic.
b.Using the p-value approach at 95% confidence, test for the uniformity of death over the week.
c.Using the critical value approach, perform the test for uniformity.
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78
The results of a recent poll on the preference of voters regarding presidential candidates are shown below.
The results of a recent poll on the preference of voters regarding presidential candidates are shown below.   At 95% confidence, test to determine whether or not there is a significant difference between the preferences for the two candidates. At 95% confidence, test to determine whether or not there is a significant difference between the preferences for the two candidates.
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79
Last school year, in the school of Business Administration, 30% were Accounting majors, 24% Management majors, 26% Marketing majors, and 20% Economics majors. A sample of 300 students taken from this year's students of the school showed the following number of students in each major:
 Last school year, in the school of Business Administration, 30% were Accounting majors, 24% Management majors, 26% Marketing majors, and 20% Economics majors. A sample of 300 students taken from this year's students of the school showed the following number of students in each major:   We want to see if there has been a significant change in the number of students in each major. a.Compute the test statistic. b.Has there been any significant change in the number of students in each major between the last school year and this school year. Use the p-value approach and let  \alpha  = .05.
We want to see if there has been a significant change in the number of students in each major.
a.Compute the test statistic.
b.Has there been any significant change in the number of students in each major between the last school year and this school year. Use the p-value approach and let α\alpha = .05.
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80
In 2009, forty percent of the students at a major university were Business majors, 35% were Engineering majors and the rest of the students were majoring in other fields. In a sample of 600 students from the same university taken in 2010, two hundred were Business majors, 220 were Engineering majors and the remaining students in the sample were majoring in other fields. At 95% confidence, test to see if there has been a significant change in the proportions between 2009 and 2010.
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