Deck 3: Statistics for Describing, Exploring, and Comparing Data

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Question
The table below provides a frequency distribution for the winner of the Davis Cup during the period 1977-1994.
 Winner of  Davis Cup  Frequency  United States 6 Germany 3 Czechoslovakia 1 Australia 3 France 1 Sweden 4\begin{array}{l}\text { Winner of }\\\begin{array} { l c } \text { Davis Cup } & \text { Frequency } \\\hline \text { United States } & 6 \\\text { Germany } & 3 \\\text { Czechoslovakia } & 1 \\\text { Australia } & 3 \\\text { France } & 1 \\\text { Sweden } & 4\end{array}\end{array}
Which measure of center, the mean, the median, or the mode is most appropriate here? Why?
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Question
Does the mode of a numerical data set always lie close to the median? Explain your answer and give an example of a data set to illustrate your answer.
Question
Construct a data set for which the range is misleading as a measure of variation. Explain why the range is misleading and suggest an alternative measure of variation.
Question
Suppose that a state introduces a state income tax which will be at a flat rate of 3%. The state legislature wishes to estimate how much money they will receive in taxes, and to do this they need to know the average income of residents of the state. Which information would be most useful, the mean income, the median income, or the mode of the incomes? Why?
Question
Skewness can be measured by Pearson's index of skewness:
I=3(xˉ median )sI = \frac { 3 ( \bar { x } - \text { median } ) } { s }
If I1.00\mathrm { I } \geq 1.00 or I1.00\mathrm { I } \leq - 1.00 , the data can be considered significantly skewed. Would you expect that incomes of all adults in the US would be skewed? In which direction? Why? Would you expect that for these incomes, Pearson's index of skewness would be greater than 1, smaller than 1- 1 , or between 1- 1 and 1 ?
Question
The textbook defines unusual values as those data points with z\mathrm { z } scores less than z=2.00\mathrm { z } = - 2.00 or z\mathrm { z } scores greater than z=2.00\mathrm { z } = 2.00 . Comment on this definition with respect to Chebyshev's theorem; refer specifically to the percent of scores which would be defined as unusual according to Chebyshev's theorem.
Question
Describe how to find the percentile for a given score in a set of data. How does this process relate to the definition of a percentile score?
Question
Heights of adult women are known to have a bell-shaped distribution. Draw a boxplot to illustrate the results.
Question
Responses to a survey question about eye color are coded as 1 (for brown), 2 (for blue), 3 (for green), 4 (for hazel), and 5 (for any other color). Does it make sense to find the mean, median, or mode of the coded eye colors?
Question
The mean salary of the female employees of one company is $29,525. The mean salary of the male employees of the same company is $33,470. Can the mean salary of all employees of the company be obtained by finding the mean of $29,525 and $33,470? Explain your thinking. Under what conditions would the mean of $29,525 and $33,470 yield the mean salary of all employees of the company?
Question
We want to compare two different groups of students, students taking Composition 1 in a traditional lecture format and students taking Composition 1 in a distance learning format.
We know that the mean score on the research paper is 85 for both groups. What additional information would be provided by knowing the standard deviation?
Question
Describe any similarities or differences in the two distributions represented by the following boxplots. Assume the two boxplots have the same scale. Describe any similarities or differences in the two distributions represented by the following boxplots. Assume the two boxplots have the same scale.  <div style=padding-top: 35px>
Question
Boxplots are graphs that are useful for revealing central tendency, the spread of the data, the distribution of the data and the presence of outliers. Draw an example of a box plot and comment on each of these characteristics as shown by your boxplot.
Question
A company advertises an average of 42,000 miles for one of its new tires. In the manufacturing process there is some variation around that average. Would the company want a process that provides a large or a small variance? Justify your answer.
Question
The two most frequently used measures of central tendency are the mean and the median.
Compare these two measures for the following characteristics: Takes every score into account? Affected by extreme scores? Advantages.
Question
The 10% trimmed mean of a data set is found by arranging the data in order, deleting the bottom 10% of the values and the top 10% of the values and then calculating the mean of the remaining values. What advantages do you think that the trimmed mean has as compared to the mean?
Question
A school has three tenth grade classes. All three classes took the same physics test. The mean scores for the three classes were 75, 71, and 78. Can the mean score for all tenth grade students be found by taking the mean of 75, 71, and 78? Explain.
Question
Marla scored 85% on her last unit exam in her statistics class. When Marla took the SAT exam, she scored at the 85 percentile in mathematics. Explain the difference in these two scores.
Question
Explain how two data sets could have equal means and modes but still differ greatly. Give an example with two data sets to illustrate.
Question
Find the mean and median for each of the two samples, then compare the two sets of results.

-The Body Mass Index (BMI) is measured for a random sample of men from two different colleges. Interpret the results by determining whether there is a difference between the two data sets that is not apparent from a comparison of the measures of center. If there is, what is it?
 Baxter College 2423.522272521.52524 Banter College 1920242531182928\begin{array} { l | c | c | c | c | c | c | c | c } \text { Baxter College } & 24 & 23.5 & 22 & 27 & 25 & 21.5 & 25 & 24 \\\hline \text { Banter College } & 19 & 20 & 24 & 25 & 31 & 18 & 29 & 28\end{array}
Question
A city has 4 different area codes for phone numbers. Does it make sense to find the mean of these area codes?
Question
Describe any similarities or differences in the two distributions represented by the following boxplots. Assume the two boxplots have the same scale.

Describe any similarities or differences in the two distributions represented by the following boxplots. Assume the two boxplots have the same scale.   <div style=padding-top: 35px>
Question
Without calculating the standard deviation, compare the standard deviation for the following three data sets. (Note: All data sets have a mean of 30.) Which do you expect to have the largest standard deviation and which do you expect to have the smallest standard deviation? Explain your answers in terms of the formula s =(xxˉ)2n1= \sqrt { \frac { \sum ( x - \bar { x } ) ^ { 2 } } { n - 1 } } .

 Set A: 30303030303030303030 Set B: 20252530303030353540 Set C: 20202025253535404040\begin{array}{cccccccccc}\text { Set A: } 30 & 30 & 30 & 30 & 30 & 30 & 30 & 30 & 30 & 30 \\\text { Set B: } 20 & 25 & 25 & 30 & 30 & 30 & 30 & 35 & 35 & 40 \\\text { Set C: } 20 & 20 & 20 & 25 & 25 & 35 & 35 & 40 & 40 & 40\end{array}
Question
Listed below are the amounts of weight change (in pounds) for 12 women during their first year of work after graduating from college. Positive values correspond to women who gained weight and negative values correspond to women who lost weight. What is the median weight change?
312113716085167\begin{array} { l l l l l l l l l l l l } 3 & - 12 & 1 & - 13 & 7 & - 1 & 6 & 0 & 8 & - 5 & 16 & 7\end{array}

A) 1.4 lb
B) 3 lb
C) 2 lb
D) 1.5 lb
Question
In chemistry, the Kelvin scale is often used to measure temperatures. On the Kelvin scale, zero degrees is absolute zero. Temperatures on the Kelvin scale are related to temperatures on the Celsius scale as follows: K=C+273\mathrm { K } = \mathrm { C } + 273 ^ { \circ } . Temperatures on the Fahrenheit scale are related to temperatures on the Celsius scale as follows: F=9C5+32\mathrm { F } = \frac { 9 \mathrm { C } } { 5 } + 32 ^ { \circ } .

A set of temperatures is given in Celsius, Kelvin, and Fahrenheit. How will the standard deviations of the three sets of data compare?
Question
Dave is a college student contemplating a possible career option. One factor that will influence his decision is the amount of money he is likely to make. He decides to look up the average salary of graduates in that profession. Which information would be more useful to him, the mean salary or the median salary. Why?
Question
In the Florida lottery, the numbers (between 1 and 49) are generated randomly with the expectation that each number has an equal chance of winning. Draw a boxplot which should illustrate the data set of all numbers picked for the lottery during the past year.
Question
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data.

-Listed below are the amounts of time (in months) that the employees of a restaurant have been working at the restaurant.
2351223316986101122\begin{array} { l l l l l l l l l l } 2 & 3 & 5 & 12 & 23 & 31 & 69 & 86 & 101 & 122\end{array}

A) 43.9 months
B) 42.8 months
C) 46.4 months
D) 45.1 months
Question
The median of a data set is always/sometimes/never (select one) one of the data points in a set of data. Explain your answer with brief examples.
Question
The empirical rule and Chebyshev's theorem are two concepts that are helpful in understanding or interpreting the value of a standard deviation. Both concepts relate a percentage of all data values to the number of standard deviations that lie within the mean.
What is the significant difference between the two concepts?
Question
The data set below consists of the scores of 15 students on a quiz. For this data set, which measure of variation do you think is more appropriate, the range or the standard deviation? Explain your thinking.

909091918990899191906090899091\begin{array} { l l l l l } 90 & 90 & 91 & 91 & 89 \\90 & 89 & 91 & 91 & 90 \\60 & 90 & 89 & 90 & 91\end{array}
Question
Find the mean and median for each of the two samples, then compare the two sets of results.

-A comparison is made between summer electric bills of those who have central air and those who have window units.

 May June  July  Aug  Sept  Central $32$64$80$90$65 Window $15$84$99$120$40\begin{array}{l|lllll} & \text { May} & \text { June } & \text { July } & \text { Aug } & \text { Sept } \\\hline \text { Central } & \$ 32 & \$ 64 & \$ 80 & \$ 90 & \$ 65 \\\text { Window } & \$ 15 & \$ 84 & \$ 99 & \$ 120 & \$ 40\end{array}
Question
The test scores of 32 students are listed below. Find P46\mathrm { P } _ { 46 } .
3237414446485355\begin{array} { l l l l l l l l } 32 & 37 & 41 & 44 & 46 & 48 & 53 & 55 \end{array}
5657596365666869\begin{array} { l l l l l l l l } 56 & 57 & 59 & 63 & 65 & 66 & 68 & 69 \end{array}
7071747475777879\begin{array} { l l l l l l l l } 70 & 71 & 74 & 74 & 75 & 77 & 78 & 79 \end{array}
8082838689929599\begin{array} { l l l l l l l l } 80 & 82 & 83 & 86 & 89 & 92 & 95 & 99 \end{array}

A) 15
B) 68
C) 14.72
D) 67
Question
Find the range, variance, and standard deviation for each of the two samples, then compare the two sets of results.

-When investigating times required for drive-through service, the following results (in seconds) were obtained.

 Restaurant A 120678997124687296 Restaurant B 115126495698767895\begin{array}{c|c|c|c|c|c|c|c|c}\text { Restaurant A } & 120 & 67 & 89 & 97 & 124 & 68 & 72 & 96 \\\hline \text { Restaurant B } & 115 & 126 & 49 & 56 & 98 & 76 & 78 & 95\end{array}

A) Restaurant A: 57sec;493.98sec2;22.23sec57 \mathrm { sec } ; 493.98 \mathrm { sec } ^ { 2 } ; 22.23 \mathrm { sec }
Restaurant B: 56sec;727.98sec2;32.89sec56 \mathrm { sec } ; 727.98 \mathrm { sec } ^ { 2 } ; 32.89 \mathrm { sec }
There is more variation in the times for restaurant BB .

B) Restaurant A: 57sec;493.98sec2;22.23sec57 \mathrm { sec } ; 493.98 \mathrm { sec } ^ { 2 } ; 22.23 \mathrm { sec }
Restaurant B: 77sec;727.98sec2;26.98sec77 \mathrm { sec } ; 727.98 \mathrm { sec } ^ { 2 } ; 26.98 \mathrm { sec }
There is more variation in the times for restaurant B\mathrm { B } .

C) Restaurant A: 75sec;493.98sec2;22.23sec75 \mathrm { sec } ; 493.98 \mathrm { sec } ^ { 2 } ; 22.23 \mathrm { sec }
Restaurant B: 70sec;727.98sec2;26.98sec70 \mathrm { sec } ; 727.98 \mathrm { sec } ^ { 2 } ; 26.98 \mathrm { sec }
There is more variation in the times for restaurant BB .

D) Restaurant A: 57sec;793.98sec2;28.18sec57 \mathrm { sec } ; 793.98 \mathrm { sec } ^ { 2 } ; 28.18 \mathrm { sec }
Restaurant B: 77sec;727.98sec2;26.98sec77 \mathrm { sec } ; 727.98 \mathrm { sec } ^ { 2 } ; 26.98 \mathrm { sec }
There is more variation in the times for restaurant A\mathrm { A } .
Question
Explain how two data sets could have equal means and modes but still differ greatly. Give an example with two data sets to illustrate.
Question
Find the mean of the data summarized in the given frequency distribution.

-A company had 80 employees whose salaries are summarized in the frequency distribution below. Find the mean salary.  Salary ($) Employees 5,00110,0001310,00115,0001515,00120,0001920,00125,0001425,00130,00019\begin{array} { r | c } \text { Salary } ( \$ ) & \text { Employees } \\\hline 5,001 - 10,000 & 13 \\10,001 - 15,000 & 15 \\15,001 - 20,000 & 19 \\20,001 - 25,000 & 14 \\25,001 - 30,000 & 19\end{array}

A) $16,368.75
B) $17,500
C) $18,187.50
D) $20,006.25
Question
Find the variance for the given data. Round your answer to one more decimal place than the original data.

-The normal monthly precipitation (in inches) for August is listed for 12 different U.S. cities.
3.51.62.43.74.13.9\begin{array} { l l l l l l } 3.5 & 1.6 & 2.4 & 3.7 & 4.1 & 3.9 \end{array}
1.03.64.23.43.72.2\begin{array} { l l l l l l } 1.0 & 3.6 & 4.2 & 3.4 & 3.7 & 2.2 \end{array}

A) 0.940.94 in. 2^ { 2 }
B) 1.001.00 in. 2^ { 2 }
C) 1.051.05 in. 2^ { 2 }
D) 1.09in21.09 \mathrm { in } ^ { 2 }
Question
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data.

-Listed below are the amounts of weight change (in pounds) for 12 women during their first year of work after graduating from college. Positive values correspond to women who gained weight and negative values correspond to women who lost weight.

481410912610439\begin{array} { l l l l l l l l l l l l } 4 & - 8 & 14 & 10 & - 9 & 12 & - 6 & 1 & 0 & 4 & - 3 & 9\end{array}

A) 8.0 lb
B) 7.9 lb
C) 7.5 lb
D) 8.2 lb
Question
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-Listed below are the amounts of weight change (in pounds) for 12 women during their first year of work after graduating from college. Positive values correspond to women who gained weight and negative values correspond to women who lost weight. What is the mean weight change?
11019175120164187\begin{array} { l l l l l l l l l l l l } 1 & - 10 & 1 & - 9 & 17 & - 5 & 12 & 0 & 16 & - 4 & 18 & 7\end{array}

A) 1 lb
B) 4 lb
C) 8.3 lb
D) 3.7 lb
Question
A student earned grades of A,C,A,A\mathrm { A } , \mathrm { C } , \mathrm { A } , \mathrm { A } , and B\mathrm { B } . Those courses had these corresponding numbers of credit hours: 2,5,3,2,32,5,3,2,3 . The grading system assigns quality points to letter grades as follows: A=4, B=3,C=2,D=1\mathrm { A } = 4 , \mathrm {~B} = 3 , \mathrm { C } = 2 , \mathrm { D } = 1 , and F=0\mathrm { F } = 0 . Compute the grade point average (GPA) and round the result to two decimal places.

A) 4.13
B) 2.13
C) 9.40
D) 3.13
Question
Listed below are the amounts of weight change (in pounds) for ten women during their first year of work after graduating from college. Positive values correspond to women who gained weight and negative values correspond to women who lost weight. What is the range?

395121250471\begin{array} { l l l l l l l l l l } 3 & 9 & 5 & 12 & - 1 & 25 & 0 & - 4 & 7 & - 1\end{array}

A) 21 lb
B) 4 lb
C) 29 lb
D) 25 lb
Question
Find the range for the given sample data.

-A class of sixth grade students kept accurate records on the amount of time they spent playing video games during a one-week period. The times (in hours) are listed below:
19.915.48.319.925.228.920.724.216.522.9\begin{array} { l l r l l } 19.9 & 15.4 & 8.3 & 19.9 & 25.2 \\28.9 & 20.7 & 24.2 & 16.5 & 22.9\end{array}

A) 25.2 hr
B) 8.3 hr
C) 4.5 hr
D) 20.6 hr
Question
Find the variance for the given data. Round your answer to one more decimal place than the original data.

-The owner of a small manufacturing plant employs six people. As part of their personnel file, she asked each one to record to the nearest one-tenth of a mile the distance they travel one way from home to work. The six distances are listed below:

613318515618\begin{array} { l l l l l l } 61 & 33 & 18 & 51 & 56 & 18 \end{array}

A) 15.0mi215.0 \mathrm { mi } ^ { 2 }
B) 17.9mi217.9 \mathrm { mi } ^ { 2 }
C) 10,914.2mi210,914.2 \mathrm { mi } ^ { 2 }
D) 366.7mi2366.7 \mathrm { mi } ^ { 2 }
Question
The mean of a set of data is -1.82 and its standard deviation is 3.91. Find the z score for a value of 4.51.

A) 1.46
B) 1.78
C) 1.92
D) 1.62
Question
Find the standard deviation of the data summarized in the given frequency distribution.

-The test scores of 40 students are summarized in the frequency distribution below. Find the standard deviation.  Score  Students 50596606967079580896909917\begin{array} { c | c } \text { Score } & \text { Students } \\\hline 50 - 59 & 6 \\60 - 69 & 6 \\70 - 79 & 5 \\80 - 89 & 6 \\90 - 99 & 17\end{array}

A) 13.9
B) 16.2
C) 14.6
D) 15.4
Question
Find the number of standard deviations from the mean. Round your answer to two decimal places.

-The number of hours per day a college student spends on homework has a mean of 4 hours and a standard deviation of 0.75 hours. Yesterday she spent 3 hours on homework. How many standard deviations from the mean is that?

A) 1.33 standard deviations below the mean
B) 0.67 standard deviations above the mean
C) 0.67 standard deviations below the mean
D) 1.33 standard deviations above the mean
Question
Suppose that all the values in a data set are converted to z-scores. Which of the statements below is true?
A: The mean of the z-scores will be zero, and the standard deviation of the z-scores will be the same as the standard deviation of the original data values.
B: The mean and standard deviation of the z-scores will be the same as the mean and standard deviation of the original data values.
C: The mean of the z-scores will be 0, and the standard deviation of the z-scores will be 1.
D: The mean and the standard deviation of the z-scores will both be zero.


A) D
B) A
C) B
D) C
Question
Find the variance for the given data. Round your answer to one more decimal place than the original data.

- To get the best deal on a microwave oven, Jeremy called six appliance stores and asked the cost of a specific model. The prices he was quoted are listed below:

$425$332$453$353$260$366\begin{array} { l l l l l l } \$ 425 & \$ 332 & \$ 453 & \$ 353 & \$ 260 & \$ 366 \end{array}

A) 4720.64720.6 dollars 2^ { 2 }
B) 3933.83933.8 dollars 2^ { 2 }
C) 798,264.4798,264.4 dollars 2
D) 4720.54720.5 dollars 2
Question
The signal-to-noise ratio of a set of data is obtained by dividing the mean by the standard deviation. Find the signal-to-noise ratio for the following sample of weights (in pounds): 160123186105197120172157116125\begin{array} { l l l l l } 160 & 123 & 186 & 105 & 197 \\120 & 172 & 157 & 116 & 125\end{array}

A) 4.6
B) 4.3
C) 4.5
D) 0.2
Question
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data.

-The numbers listed below represent the amount of precipitation (in inches) last year in six different U.S. cities. 20.721.946.235.917.424.5\begin{array} { l l l l l l } 20.7 & 21.9 & 46.2 & 35.9 & 17.4 & 24.5\end{array}

A) 4625.9 in.
B) 5234.4 in.
C) 41.1 in.
D) 11.03 in.
Question
Find the z-score corresponding to the given value and use the z-score to determine whether the value is unusual.
Consider a score to be unusual if its z-score is less than -2.00 or greater than 2.00. Round the z-score to the nearest tenth if necessary.

-A time for the 100 meter sprint of 14.5 seconds at a school where the mean time for the 100 meter sprint is 17.6 seconds and the standard deviation is 2.1 seconds.

A) -3.1; unusual
B) -1.5; not unusual
C) 1.5; not unusual
D) -1.5; unusual
Question
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-The students in Hugh Logan's math class took the Scholastic Aptitude Test. Their math scores are shown below. Find the mean score. 588563357341526344346644470482\begin{array} { l l l l l } 588 & 563 & 357 & 341 & 526 \\344 & 346 & 644 & 470 & 482\end{array}

A) 457.0
B) 466.1
C) 475.6
D) 476.0
Question
The coefficient of variation, expressed as a percent, is used to describe the standard deviation relative to the mean. It allows us to compare variability of data sets with different measurement units and is calculated as follows:  coefficient of variation =100( s/x)\text { coefficient of variation } = 100 ( \mathrm {~s} / \overline { \mathrm { x } } ) Find the coefficient of variation for the following sample of weights (in pounds): 138134186105197136172152116125\begin{array} { l l l l l } 138 & 134 & 186 & 105 & 197 \\136 & 172 & 152 & 116 & 125\end{array}

A) 22.7%
B) 25.4%
C) 20.7%
D) 18.2%
Question
Find the median for the given sample data.

-The temperatures (in degrees Fahrenheit) in 7 different cities on New Year's Day are listed below. 17223958676985\begin{array} { l l l l l l l } 17 & 22 & 39 & 58 & 67 & 69 & 85\end{array} Find the median temperature.

A) 58°F
B) 51°F
C) 67°F
D) 39°F
Question
Find the range for the given sample data.

-The amounts below represent the last twelve transactions made to Juan's checking account. Positive numbers represent deposits and negative numbers represent debits from his account. $28$20$67$22$15$17$47$41$53$13$30$81\begin{array} { l l l l l l l l l l l l } \$ 28 & - \$ 20 & \$ 67 & - \$ 22 & - \$ 15 & \$ 17 & - \$ 47 & \$ 41 & \$ 53 & - \$ 13 & \$ 30 & \$ 81\end{array}

A) $81
B) $34
C) -$128
D) $128
Question
When data are summarized in a frequency distribution, the median can be found by first identifying the median class (the class that contains the median). We then assume that the values in that class are evenly distributed and we can interpolate. This process can be described by  median =( lower limit of median class )+( class width )(n+12(m+1) frequency of median class )\text { median } = ( \text { lower limit of median class } ) + ( \text { class width } ) \left( \frac { \frac { \mathrm { n } + 1 } { 2 } - ( \mathrm { m } + 1 ) } { \text { frequency of median class } } \right) where n is the sum of all class frequencies and m is the sum of the class frequencies that precede the median class. Use this procedure to find the median of the frequency distribution below:

 Score  Frequency 505921606924707925808917909913\begin{array} { c | c } \text { Score } & \text { Frequency } \\\hline 50 - 59 & 21 \\60 - 69 & 24 \\70 - 79 & 25 \\80 - 89 & 17 \\90 - 99 & 13\end{array}

A) 71.6
B) 74.5
C) 71.8
D) 72.2
Question
The heights of the adults in one town have a mean of 66.8 inches and a standard deviation of 3.4 inches. What can you conclude from Chebyshev's theorem about the percentage of adults in the town whose heights are between 60 and 73.6 inches?

A) The percentage is at least 95%
B) The percentage is at most 75%
C) The percentage is at least 75%
D) The percentage is at most 95%
Question
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-The normal monthly precipitation (in inches) for August is listed for 20 different U.S. cities. Find the mean monthly precipitation. 3.51.62.43.74.1\begin{array} { l l l l l l } 3.5 & 1.6 & 2.4 & 3.7 & 4.1 \end{array}
3.91.03.64.23.4\begin{array} { l l l l l } 3.9 & 1.0 & 3.6 & 4.2 & 3.4 \end{array}
3.72.21.54.23.4\begin{array} { l l l l l } 3.7 & 2.2 & 1.5 & 4.2 & 3.4 \end{array}
2.70.43.72.03.6\begin{array} { l l l l l } 2.7 & 0.4 & 3.7 & 2.0 & 3.6 \end{array}

A) 3.09 in.
B) 2.80 in.
C) 3.27 in.
D) 2.94 in.
Question
A department store, on average, has daily sales of $28,567.95. The standard deviation of sales is $ 1000. On Tuesday, the store sold $35,492.00 worth of goods. Find Tuesday's z score. Was Tuesday an unusually good day?

A) 5.54, no
B) 6.92, yes
C) 7.27, no
D) 7.23, yes
Question
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data.

-Christine is currently taking college astronomy. The instructor often gives quizzes. On the past seven quizzes, Christine got the following scores: 40203121125575\begin{array} { l l l l l l l } 40 & 20 & 31 & 21 & 12 & 55 & 75\end{array}

A) 12,196
B) 9216.6
C) 22.3
D) 31
Question
Determine which score corresponds to the higher relative position.
Which is better: a score of 82 on a test with a mean of 70 and a standard deviation of 8, or a score of 82 on a test with a mean of 75 and a standard deviation of 4?

A) The first 82
B) The second 82
C) Both scores have the same relative position.
Question
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-The amount of time (in hours) that Sam studied for an exam on each of the last five days is given below. Find the mean study time.
1.16.16.81.54.1\begin{array} { l l l l l } 1.1 & 6.1 & 6.8 & 1.5 & 4.1\end{array}

A) 19.60 hr
B) 4.96 hr
C) 3.92 hr
D) 5.45 hr
Question
Find the coefficient of variation for each of the two sets of data, then compare the variation. Round results to one decimal place.

-The customer service department of a phone company is experimenting with two different systems. On Monday they try the first system which is based on an automated menu system. On Tuesday they try the second system in which each caller is immediately connected with a live agent. A quality control manager selects a sample of seven calls each day. He records the time for each
Customer to have his or her question answered. The times (in minutes) are listed below.
 Automated Menu: 11.17.43.82.99.26.35.5 Live agent: 6.62.74.14.13.45.23.7\begin{array}{l}\begin{array} { l l l l l l l } \text { Automated Menu: }& 11.1 & 7.4 & 3.8 & 2.9 & 9.2 & 6.3 & 5.5\\\text { Live agent: } & 6.6 & 2.7 & 4.1 & 4.1 & 3.4 & 5.2 & 3.7\end{array}\end{array}

A) Automated Menu: 24.4%
Live agent: 47.5%
There is substantially more variation in the times for the live agent.

B) Automated Menu: 43.9%
Live agent: 30.2%
There is substantially more variation in the times for the automated menu system.

C) Automated Menu: 47.2%
Live agent: 32.4%
There is substantially more variation in the times for the automated menu system.

D) Automated Menu: 45.6%
Live agent: 31.3%
There is substantially more variation in the times for the automated menu system.
Question
The quadratic mean (or root mean square) is usually used in physical applications. In power distribution systems, for example, voltages and currents are usually referred to in terms of their root mean square value. The quadratic mean of a set of values is obtained by squaring each value, adding the results, dividing by the number of values (n), and then taking the square root of that
Result, expressed as
 quadratic mean =x2n\text { quadratic mean } = \sqrt { \frac { \sum x ^ { 2 } } { n } } Find the root mean square of these power supplies (in volts): 56, 53, 22, 20.

A) 20.7 volts
B) 37.8 volts
C) 41.3 volts
D) 75.5 volts
Question
Determine which score corresponds to the higher relative position.
Determine which score corresponds to the higher relative position.  <div style=padding-top: 35px>
Question
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-Last year, nine employees of an electronics company retired. Their ages at retirement are listed below. Find the mean retirement age. 526367505958655156\begin{array} { l l l } 52 & 63 & 67 \\50 & 59 & 58 \\65 & 51 & 56\end{array}

A) 57.9 yr
B) 56.6 yr
C) 58.0 yr
D) 57.3 yr
Question
Use the given sample data to find Q3Q _ { 3 } .

4952525274675555\begin{array} { l l l l l l l l } 49 & 52 & 52 & 52 & 74 & 67 & 55 & 55 \end{array}

A) 55.0
B) 6.0
C) 61.0
D) 67.0
Question
Jeremy called eight appliance stores and asked the price of a specific model of microwave oven. The prices quoted are listed below:
$115$548$222$580$359$285$317$492\begin{array} { l l l l l l l l } \$ 115 & \$ 548 & \$ 222 & \$ 580 & \$ 359 & \$ 285 & \$ 317 & \$ 492\end{array}

A) $465
B) $115
C) $548
D) $63
Question
The heights of a group of professional basketball players are summarized in the frequency distribution below. Find the standard deviation. Round your answer to one decimal place.  Height (in.)  Frequency 70713727377475167677127879108081482831\begin{array} { c | r } \text { Height (in.) } & \text { Frequency } \\\hline 70 - 71 & 3 \\72 - 73 & 7 \\74 - 75 & 16 \\76 - 77 & 12 \\78 - 79 & 10 \\80 - 81 & 4 \\82 - 83 & 1\end{array}

A) 3.3 in.
B) 3.2 in.
C) 2.9 in.
D) 2.8 in.
Question
For any data set of n values with standard deviation s, every value must be within sn1s \sqrt { n - 1 } of the mean. In a class of 17 students, the heights of the students have a mean of 67.3 inches and a standard deviation of 3.2 inches. The tallest student in class, a hopeful member of the basketball team, claims to be
79.3 inches tall. Could he be telling the truth?

A) Yes
B) No
Question
Find the midrange for the given sample data.

-A meteorologist records the number of clear days in a given year in each of 21 different U.S. cities. The results are shown below. Find the midrange. 721435284100981011209912186605971125130104748355169\begin{array} { r r r r r r r } 72 & 143 & 52 & 84 & 100 & 98 & 101 \\120 & 99 & 121 & 86 & 60 & 59 & 71 \\125 & 130 & 104 & 74 & 83 & 55 & 169\end{array}

A) 112 days
B) 110.5 days
C) 98 days
D) 117 days
Question
Use the range rule of thumb to estimate the standard deviation. Round results to the nearest tenth.

-The race speeds for the top eight cars in a 200-mile race are listed below.
188.8183.0189.2182.1175.6184.6178.3179.4\begin{array} { l l l l l l l l } 188.8 & 183.0 & 189.2 & 182.1 & 175.6 & 184.6 & 178.3 & 179.4\end{array}

A) 7.5
B) 3.4
C) 6.8
D) 1.1
Question
If all the values in a data set are converted to z-scores, the shape of the distribution of the z-scores will be bell-shaped regardless of the distribution of the original data.
Question
Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.

-The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.

15161818181920\begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}
20202121222223\begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}
23242424252526\begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}
27272829293031\begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}
31333435394248\begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48


A)
 <strong>Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.  -The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.   \begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}   \begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}   \begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}   \begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}   \begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48   </strong> A)    B)    C)    D)   <div style=padding-top: 35px>

B)
 <strong>Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.  -The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.   \begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}   \begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}   \begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}   \begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}   \begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48   </strong> A)    B)    C)    D)   <div style=padding-top: 35px>

C)
 <strong>Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.  -The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.   \begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}   \begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}   \begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}   \begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}   \begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48   </strong> A)    B)    C)    D)   <div style=padding-top: 35px>

D)
 <strong>Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.  -The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.   \begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}   \begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}   \begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}   \begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}   \begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48   </strong> A)    B)    C)    D)   <div style=padding-top: 35px>
Question
Find the variance for the given data. Round your answer to one more decimal place than the original data.

-Jeanne is currently taking college zoology. The instructor often gives quizzes. On the past five quizzes, Jeanne got the following scores: 1677188\begin{array} { l l l l l } 16 & 7 & 7 & 18 & 8\end{array}

A) 28.6
B) 28.7
C) 54.8
D) 23.0
Question
Construct a modified boxplot for the data. Identify any outliers.

-The weights (in ounces) of 27 tomatoes are listed below.
1.72.02.22.22.42.52.52.52.6\begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}
2.62.62.72.72.72.82.82.82.9\begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}
2.92.93.03.03.13.13.33.64.2\begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}

A) Outliers: 1.7 oz, 4.2 oz
 <strong>Construct a modified boxplot for the data. Identify any outliers.  -The weights (in ounces) of 27 tomatoes are listed below.  \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}  </strong> A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz   <div style=padding-top: 35px>

B) No outliers
 <strong>Construct a modified boxplot for the data. Identify any outliers.  -The weights (in ounces) of 27 tomatoes are listed below.  \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}  </strong> A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz   <div style=padding-top: 35px>

C) Outlier: 4.2 oz
 <strong>Construct a modified boxplot for the data. Identify any outliers.  -The weights (in ounces) of 27 tomatoes are listed below.  \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}  </strong> A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz   <div style=padding-top: 35px>

D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz
 <strong>Construct a modified boxplot for the data. Identify any outliers.  -The weights (in ounces) of 27 tomatoes are listed below.  \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}  </strong> A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz   <div style=padding-top: 35px>


Question
The ages of the members of a gym have a mean of 48 years and a standard deviation of 10 years. What can you conclude from Chebyshev's theorem about the percentage of gym members aged between 26 and 70?

A) The percentage is at least 79.3%
B) The percentage is approximately 54.5%
C) The percentage is at least 54.5%
D) The percentage is at most 79.3%
Question
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-Listed below are the amounts of time (in months) that the employees of a restaurant have been working at the restaurant. Find the mean. 137813141924518099130145167\begin{array} { l l l l l l l l l l l l l l } 1 & 3 & 7 & 8 & 13 & 14 & 19 & 24 & 51 & 80 & 99 & 130 & 145 & 167\end{array}

A) 21.5 months
B) 54.4 months
C) 58.5 months
D) 50.7 months
Question
Find the mode(s) for the given sample data.

- 804632462980\begin{array} { l l l l l l } 80 & 46 & 32 & 46 & 29 & 80\end{array}

A) 80
B) 80, 46
C) 46
D) 52.2
Question
Find the midrange for the given sample data.

-The speeds (in mph) of the cars passing a certain checkpoint are measured by radar. The results are shown below. Find the midrange. 44.141.742.440.243.9\begin{array} { l l l l l } 44.1 & 41.7 & 42.4 & 40.2 & 43.9 \end{array}
40.245.041.944.142.2\begin{array} { l l l l l } 40.2 & 45.0 & 41.9 & 44.1 & 42.2 \end{array}
44.041.940.244.041.7\begin{array} { l l l l l } 44.0 & 41.9 & 40.2 & 44.0 & 41.7 \end{array}

A) 4.80 mph
B) 42.2 mph
C) 42.60 mph
D) 42.15 mph
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Deck 3: Statistics for Describing, Exploring, and Comparing Data
1
The table below provides a frequency distribution for the winner of the Davis Cup during the period 1977-1994.
 Winner of  Davis Cup  Frequency  United States 6 Germany 3 Czechoslovakia 1 Australia 3 France 1 Sweden 4\begin{array}{l}\text { Winner of }\\\begin{array} { l c } \text { Davis Cup } & \text { Frequency } \\\hline \text { United States } & 6 \\\text { Germany } & 3 \\\text { Czechoslovakia } & 1 \\\text { Australia } & 3 \\\text { France } & 1 \\\text { Sweden } & 4\end{array}\end{array}
Which measure of center, the mean, the median, or the mode is most appropriate here? Why?
The mode. Since the data are not numerical, it is not possible to find the median or mean. The mode is the only measure of center that can be used with data at the nominal level of measurement.
2
Does the mode of a numerical data set always lie close to the median? Explain your answer and give an example of a data set to illustrate your answer.
No, the mode is the value that occurs most frequently and this value is not
necessarily close to the median. Examples will vary.
3
Construct a data set for which the range is misleading as a measure of variation. Explain why the range is misleading and suggest an alternative measure of variation.
Answers will vary. The data set should contain an outlier, which will tend to make the range quite large even though the remaining data may be bunched fairly close together. In general, the standard deviation or variance are more reliable measures of variation.
4
Suppose that a state introduces a state income tax which will be at a flat rate of 3%. The state legislature wishes to estimate how much money they will receive in taxes, and to do this they need to know the average income of residents of the state. Which information would be most useful, the mean income, the median income, or the mode of the incomes? Why?
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5
Skewness can be measured by Pearson's index of skewness:
I=3(xˉ median )sI = \frac { 3 ( \bar { x } - \text { median } ) } { s }
If I1.00\mathrm { I } \geq 1.00 or I1.00\mathrm { I } \leq - 1.00 , the data can be considered significantly skewed. Would you expect that incomes of all adults in the US would be skewed? In which direction? Why? Would you expect that for these incomes, Pearson's index of skewness would be greater than 1, smaller than 1- 1 , or between 1- 1 and 1 ?
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6
The textbook defines unusual values as those data points with z\mathrm { z } scores less than z=2.00\mathrm { z } = - 2.00 or z\mathrm { z } scores greater than z=2.00\mathrm { z } = 2.00 . Comment on this definition with respect to Chebyshev's theorem; refer specifically to the percent of scores which would be defined as unusual according to Chebyshev's theorem.
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7
Describe how to find the percentile for a given score in a set of data. How does this process relate to the definition of a percentile score?
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8
Heights of adult women are known to have a bell-shaped distribution. Draw a boxplot to illustrate the results.
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9
Responses to a survey question about eye color are coded as 1 (for brown), 2 (for blue), 3 (for green), 4 (for hazel), and 5 (for any other color). Does it make sense to find the mean, median, or mode of the coded eye colors?
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10
The mean salary of the female employees of one company is $29,525. The mean salary of the male employees of the same company is $33,470. Can the mean salary of all employees of the company be obtained by finding the mean of $29,525 and $33,470? Explain your thinking. Under what conditions would the mean of $29,525 and $33,470 yield the mean salary of all employees of the company?
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11
We want to compare two different groups of students, students taking Composition 1 in a traditional lecture format and students taking Composition 1 in a distance learning format.
We know that the mean score on the research paper is 85 for both groups. What additional information would be provided by knowing the standard deviation?
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12
Describe any similarities or differences in the two distributions represented by the following boxplots. Assume the two boxplots have the same scale. Describe any similarities or differences in the two distributions represented by the following boxplots. Assume the two boxplots have the same scale.
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13
Boxplots are graphs that are useful for revealing central tendency, the spread of the data, the distribution of the data and the presence of outliers. Draw an example of a box plot and comment on each of these characteristics as shown by your boxplot.
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14
A company advertises an average of 42,000 miles for one of its new tires. In the manufacturing process there is some variation around that average. Would the company want a process that provides a large or a small variance? Justify your answer.
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15
The two most frequently used measures of central tendency are the mean and the median.
Compare these two measures for the following characteristics: Takes every score into account? Affected by extreme scores? Advantages.
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16
The 10% trimmed mean of a data set is found by arranging the data in order, deleting the bottom 10% of the values and the top 10% of the values and then calculating the mean of the remaining values. What advantages do you think that the trimmed mean has as compared to the mean?
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17
A school has three tenth grade classes. All three classes took the same physics test. The mean scores for the three classes were 75, 71, and 78. Can the mean score for all tenth grade students be found by taking the mean of 75, 71, and 78? Explain.
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18
Marla scored 85% on her last unit exam in her statistics class. When Marla took the SAT exam, she scored at the 85 percentile in mathematics. Explain the difference in these two scores.
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19
Explain how two data sets could have equal means and modes but still differ greatly. Give an example with two data sets to illustrate.
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20
Find the mean and median for each of the two samples, then compare the two sets of results.

-The Body Mass Index (BMI) is measured for a random sample of men from two different colleges. Interpret the results by determining whether there is a difference between the two data sets that is not apparent from a comparison of the measures of center. If there is, what is it?
 Baxter College 2423.522272521.52524 Banter College 1920242531182928\begin{array} { l | c | c | c | c | c | c | c | c } \text { Baxter College } & 24 & 23.5 & 22 & 27 & 25 & 21.5 & 25 & 24 \\\hline \text { Banter College } & 19 & 20 & 24 & 25 & 31 & 18 & 29 & 28\end{array}
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21
A city has 4 different area codes for phone numbers. Does it make sense to find the mean of these area codes?
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22
Describe any similarities or differences in the two distributions represented by the following boxplots. Assume the two boxplots have the same scale.

Describe any similarities or differences in the two distributions represented by the following boxplots. Assume the two boxplots have the same scale.
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23
Without calculating the standard deviation, compare the standard deviation for the following three data sets. (Note: All data sets have a mean of 30.) Which do you expect to have the largest standard deviation and which do you expect to have the smallest standard deviation? Explain your answers in terms of the formula s =(xxˉ)2n1= \sqrt { \frac { \sum ( x - \bar { x } ) ^ { 2 } } { n - 1 } } .

 Set A: 30303030303030303030 Set B: 20252530303030353540 Set C: 20202025253535404040\begin{array}{cccccccccc}\text { Set A: } 30 & 30 & 30 & 30 & 30 & 30 & 30 & 30 & 30 & 30 \\\text { Set B: } 20 & 25 & 25 & 30 & 30 & 30 & 30 & 35 & 35 & 40 \\\text { Set C: } 20 & 20 & 20 & 25 & 25 & 35 & 35 & 40 & 40 & 40\end{array}
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24
Listed below are the amounts of weight change (in pounds) for 12 women during their first year of work after graduating from college. Positive values correspond to women who gained weight and negative values correspond to women who lost weight. What is the median weight change?
312113716085167\begin{array} { l l l l l l l l l l l l } 3 & - 12 & 1 & - 13 & 7 & - 1 & 6 & 0 & 8 & - 5 & 16 & 7\end{array}

A) 1.4 lb
B) 3 lb
C) 2 lb
D) 1.5 lb
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25
In chemistry, the Kelvin scale is often used to measure temperatures. On the Kelvin scale, zero degrees is absolute zero. Temperatures on the Kelvin scale are related to temperatures on the Celsius scale as follows: K=C+273\mathrm { K } = \mathrm { C } + 273 ^ { \circ } . Temperatures on the Fahrenheit scale are related to temperatures on the Celsius scale as follows: F=9C5+32\mathrm { F } = \frac { 9 \mathrm { C } } { 5 } + 32 ^ { \circ } .

A set of temperatures is given in Celsius, Kelvin, and Fahrenheit. How will the standard deviations of the three sets of data compare?
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26
Dave is a college student contemplating a possible career option. One factor that will influence his decision is the amount of money he is likely to make. He decides to look up the average salary of graduates in that profession. Which information would be more useful to him, the mean salary or the median salary. Why?
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27
In the Florida lottery, the numbers (between 1 and 49) are generated randomly with the expectation that each number has an equal chance of winning. Draw a boxplot which should illustrate the data set of all numbers picked for the lottery during the past year.
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28
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data.

-Listed below are the amounts of time (in months) that the employees of a restaurant have been working at the restaurant.
2351223316986101122\begin{array} { l l l l l l l l l l } 2 & 3 & 5 & 12 & 23 & 31 & 69 & 86 & 101 & 122\end{array}

A) 43.9 months
B) 42.8 months
C) 46.4 months
D) 45.1 months
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29
The median of a data set is always/sometimes/never (select one) one of the data points in a set of data. Explain your answer with brief examples.
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30
The empirical rule and Chebyshev's theorem are two concepts that are helpful in understanding or interpreting the value of a standard deviation. Both concepts relate a percentage of all data values to the number of standard deviations that lie within the mean.
What is the significant difference between the two concepts?
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31
The data set below consists of the scores of 15 students on a quiz. For this data set, which measure of variation do you think is more appropriate, the range or the standard deviation? Explain your thinking.

909091918990899191906090899091\begin{array} { l l l l l } 90 & 90 & 91 & 91 & 89 \\90 & 89 & 91 & 91 & 90 \\60 & 90 & 89 & 90 & 91\end{array}
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32
Find the mean and median for each of the two samples, then compare the two sets of results.

-A comparison is made between summer electric bills of those who have central air and those who have window units.

 May June  July  Aug  Sept  Central $32$64$80$90$65 Window $15$84$99$120$40\begin{array}{l|lllll} & \text { May} & \text { June } & \text { July } & \text { Aug } & \text { Sept } \\\hline \text { Central } & \$ 32 & \$ 64 & \$ 80 & \$ 90 & \$ 65 \\\text { Window } & \$ 15 & \$ 84 & \$ 99 & \$ 120 & \$ 40\end{array}
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33
The test scores of 32 students are listed below. Find P46\mathrm { P } _ { 46 } .
3237414446485355\begin{array} { l l l l l l l l } 32 & 37 & 41 & 44 & 46 & 48 & 53 & 55 \end{array}
5657596365666869\begin{array} { l l l l l l l l } 56 & 57 & 59 & 63 & 65 & 66 & 68 & 69 \end{array}
7071747475777879\begin{array} { l l l l l l l l } 70 & 71 & 74 & 74 & 75 & 77 & 78 & 79 \end{array}
8082838689929599\begin{array} { l l l l l l l l } 80 & 82 & 83 & 86 & 89 & 92 & 95 & 99 \end{array}

A) 15
B) 68
C) 14.72
D) 67
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34
Find the range, variance, and standard deviation for each of the two samples, then compare the two sets of results.

-When investigating times required for drive-through service, the following results (in seconds) were obtained.

 Restaurant A 120678997124687296 Restaurant B 115126495698767895\begin{array}{c|c|c|c|c|c|c|c|c}\text { Restaurant A } & 120 & 67 & 89 & 97 & 124 & 68 & 72 & 96 \\\hline \text { Restaurant B } & 115 & 126 & 49 & 56 & 98 & 76 & 78 & 95\end{array}

A) Restaurant A: 57sec;493.98sec2;22.23sec57 \mathrm { sec } ; 493.98 \mathrm { sec } ^ { 2 } ; 22.23 \mathrm { sec }
Restaurant B: 56sec;727.98sec2;32.89sec56 \mathrm { sec } ; 727.98 \mathrm { sec } ^ { 2 } ; 32.89 \mathrm { sec }
There is more variation in the times for restaurant BB .

B) Restaurant A: 57sec;493.98sec2;22.23sec57 \mathrm { sec } ; 493.98 \mathrm { sec } ^ { 2 } ; 22.23 \mathrm { sec }
Restaurant B: 77sec;727.98sec2;26.98sec77 \mathrm { sec } ; 727.98 \mathrm { sec } ^ { 2 } ; 26.98 \mathrm { sec }
There is more variation in the times for restaurant B\mathrm { B } .

C) Restaurant A: 75sec;493.98sec2;22.23sec75 \mathrm { sec } ; 493.98 \mathrm { sec } ^ { 2 } ; 22.23 \mathrm { sec }
Restaurant B: 70sec;727.98sec2;26.98sec70 \mathrm { sec } ; 727.98 \mathrm { sec } ^ { 2 } ; 26.98 \mathrm { sec }
There is more variation in the times for restaurant BB .

D) Restaurant A: 57sec;793.98sec2;28.18sec57 \mathrm { sec } ; 793.98 \mathrm { sec } ^ { 2 } ; 28.18 \mathrm { sec }
Restaurant B: 77sec;727.98sec2;26.98sec77 \mathrm { sec } ; 727.98 \mathrm { sec } ^ { 2 } ; 26.98 \mathrm { sec }
There is more variation in the times for restaurant A\mathrm { A } .
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35
Explain how two data sets could have equal means and modes but still differ greatly. Give an example with two data sets to illustrate.
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36
Find the mean of the data summarized in the given frequency distribution.

-A company had 80 employees whose salaries are summarized in the frequency distribution below. Find the mean salary.  Salary ($) Employees 5,00110,0001310,00115,0001515,00120,0001920,00125,0001425,00130,00019\begin{array} { r | c } \text { Salary } ( \$ ) & \text { Employees } \\\hline 5,001 - 10,000 & 13 \\10,001 - 15,000 & 15 \\15,001 - 20,000 & 19 \\20,001 - 25,000 & 14 \\25,001 - 30,000 & 19\end{array}

A) $16,368.75
B) $17,500
C) $18,187.50
D) $20,006.25
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37
Find the variance for the given data. Round your answer to one more decimal place than the original data.

-The normal monthly precipitation (in inches) for August is listed for 12 different U.S. cities.
3.51.62.43.74.13.9\begin{array} { l l l l l l } 3.5 & 1.6 & 2.4 & 3.7 & 4.1 & 3.9 \end{array}
1.03.64.23.43.72.2\begin{array} { l l l l l l } 1.0 & 3.6 & 4.2 & 3.4 & 3.7 & 2.2 \end{array}

A) 0.940.94 in. 2^ { 2 }
B) 1.001.00 in. 2^ { 2 }
C) 1.051.05 in. 2^ { 2 }
D) 1.09in21.09 \mathrm { in } ^ { 2 }
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38
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data.

-Listed below are the amounts of weight change (in pounds) for 12 women during their first year of work after graduating from college. Positive values correspond to women who gained weight and negative values correspond to women who lost weight.

481410912610439\begin{array} { l l l l l l l l l l l l } 4 & - 8 & 14 & 10 & - 9 & 12 & - 6 & 1 & 0 & 4 & - 3 & 9\end{array}

A) 8.0 lb
B) 7.9 lb
C) 7.5 lb
D) 8.2 lb
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39
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-Listed below are the amounts of weight change (in pounds) for 12 women during their first year of work after graduating from college. Positive values correspond to women who gained weight and negative values correspond to women who lost weight. What is the mean weight change?
11019175120164187\begin{array} { l l l l l l l l l l l l } 1 & - 10 & 1 & - 9 & 17 & - 5 & 12 & 0 & 16 & - 4 & 18 & 7\end{array}

A) 1 lb
B) 4 lb
C) 8.3 lb
D) 3.7 lb
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40
A student earned grades of A,C,A,A\mathrm { A } , \mathrm { C } , \mathrm { A } , \mathrm { A } , and B\mathrm { B } . Those courses had these corresponding numbers of credit hours: 2,5,3,2,32,5,3,2,3 . The grading system assigns quality points to letter grades as follows: A=4, B=3,C=2,D=1\mathrm { A } = 4 , \mathrm {~B} = 3 , \mathrm { C } = 2 , \mathrm { D } = 1 , and F=0\mathrm { F } = 0 . Compute the grade point average (GPA) and round the result to two decimal places.

A) 4.13
B) 2.13
C) 9.40
D) 3.13
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41
Listed below are the amounts of weight change (in pounds) for ten women during their first year of work after graduating from college. Positive values correspond to women who gained weight and negative values correspond to women who lost weight. What is the range?

395121250471\begin{array} { l l l l l l l l l l } 3 & 9 & 5 & 12 & - 1 & 25 & 0 & - 4 & 7 & - 1\end{array}

A) 21 lb
B) 4 lb
C) 29 lb
D) 25 lb
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42
Find the range for the given sample data.

-A class of sixth grade students kept accurate records on the amount of time they spent playing video games during a one-week period. The times (in hours) are listed below:
19.915.48.319.925.228.920.724.216.522.9\begin{array} { l l r l l } 19.9 & 15.4 & 8.3 & 19.9 & 25.2 \\28.9 & 20.7 & 24.2 & 16.5 & 22.9\end{array}

A) 25.2 hr
B) 8.3 hr
C) 4.5 hr
D) 20.6 hr
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43
Find the variance for the given data. Round your answer to one more decimal place than the original data.

-The owner of a small manufacturing plant employs six people. As part of their personnel file, she asked each one to record to the nearest one-tenth of a mile the distance they travel one way from home to work. The six distances are listed below:

613318515618\begin{array} { l l l l l l } 61 & 33 & 18 & 51 & 56 & 18 \end{array}

A) 15.0mi215.0 \mathrm { mi } ^ { 2 }
B) 17.9mi217.9 \mathrm { mi } ^ { 2 }
C) 10,914.2mi210,914.2 \mathrm { mi } ^ { 2 }
D) 366.7mi2366.7 \mathrm { mi } ^ { 2 }
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44
The mean of a set of data is -1.82 and its standard deviation is 3.91. Find the z score for a value of 4.51.

A) 1.46
B) 1.78
C) 1.92
D) 1.62
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45
Find the standard deviation of the data summarized in the given frequency distribution.

-The test scores of 40 students are summarized in the frequency distribution below. Find the standard deviation.  Score  Students 50596606967079580896909917\begin{array} { c | c } \text { Score } & \text { Students } \\\hline 50 - 59 & 6 \\60 - 69 & 6 \\70 - 79 & 5 \\80 - 89 & 6 \\90 - 99 & 17\end{array}

A) 13.9
B) 16.2
C) 14.6
D) 15.4
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46
Find the number of standard deviations from the mean. Round your answer to two decimal places.

-The number of hours per day a college student spends on homework has a mean of 4 hours and a standard deviation of 0.75 hours. Yesterday she spent 3 hours on homework. How many standard deviations from the mean is that?

A) 1.33 standard deviations below the mean
B) 0.67 standard deviations above the mean
C) 0.67 standard deviations below the mean
D) 1.33 standard deviations above the mean
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47
Suppose that all the values in a data set are converted to z-scores. Which of the statements below is true?
A: The mean of the z-scores will be zero, and the standard deviation of the z-scores will be the same as the standard deviation of the original data values.
B: The mean and standard deviation of the z-scores will be the same as the mean and standard deviation of the original data values.
C: The mean of the z-scores will be 0, and the standard deviation of the z-scores will be 1.
D: The mean and the standard deviation of the z-scores will both be zero.


A) D
B) A
C) B
D) C
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48
Find the variance for the given data. Round your answer to one more decimal place than the original data.

- To get the best deal on a microwave oven, Jeremy called six appliance stores and asked the cost of a specific model. The prices he was quoted are listed below:

$425$332$453$353$260$366\begin{array} { l l l l l l } \$ 425 & \$ 332 & \$ 453 & \$ 353 & \$ 260 & \$ 366 \end{array}

A) 4720.64720.6 dollars 2^ { 2 }
B) 3933.83933.8 dollars 2^ { 2 }
C) 798,264.4798,264.4 dollars 2
D) 4720.54720.5 dollars 2
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49
The signal-to-noise ratio of a set of data is obtained by dividing the mean by the standard deviation. Find the signal-to-noise ratio for the following sample of weights (in pounds): 160123186105197120172157116125\begin{array} { l l l l l } 160 & 123 & 186 & 105 & 197 \\120 & 172 & 157 & 116 & 125\end{array}

A) 4.6
B) 4.3
C) 4.5
D) 0.2
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50
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data.

-The numbers listed below represent the amount of precipitation (in inches) last year in six different U.S. cities. 20.721.946.235.917.424.5\begin{array} { l l l l l l } 20.7 & 21.9 & 46.2 & 35.9 & 17.4 & 24.5\end{array}

A) 4625.9 in.
B) 5234.4 in.
C) 41.1 in.
D) 11.03 in.
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51
Find the z-score corresponding to the given value and use the z-score to determine whether the value is unusual.
Consider a score to be unusual if its z-score is less than -2.00 or greater than 2.00. Round the z-score to the nearest tenth if necessary.

-A time for the 100 meter sprint of 14.5 seconds at a school where the mean time for the 100 meter sprint is 17.6 seconds and the standard deviation is 2.1 seconds.

A) -3.1; unusual
B) -1.5; not unusual
C) 1.5; not unusual
D) -1.5; unusual
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52
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-The students in Hugh Logan's math class took the Scholastic Aptitude Test. Their math scores are shown below. Find the mean score. 588563357341526344346644470482\begin{array} { l l l l l } 588 & 563 & 357 & 341 & 526 \\344 & 346 & 644 & 470 & 482\end{array}

A) 457.0
B) 466.1
C) 475.6
D) 476.0
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53
The coefficient of variation, expressed as a percent, is used to describe the standard deviation relative to the mean. It allows us to compare variability of data sets with different measurement units and is calculated as follows:  coefficient of variation =100( s/x)\text { coefficient of variation } = 100 ( \mathrm {~s} / \overline { \mathrm { x } } ) Find the coefficient of variation for the following sample of weights (in pounds): 138134186105197136172152116125\begin{array} { l l l l l } 138 & 134 & 186 & 105 & 197 \\136 & 172 & 152 & 116 & 125\end{array}

A) 22.7%
B) 25.4%
C) 20.7%
D) 18.2%
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54
Find the median for the given sample data.

-The temperatures (in degrees Fahrenheit) in 7 different cities on New Year's Day are listed below. 17223958676985\begin{array} { l l l l l l l } 17 & 22 & 39 & 58 & 67 & 69 & 85\end{array} Find the median temperature.

A) 58°F
B) 51°F
C) 67°F
D) 39°F
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55
Find the range for the given sample data.

-The amounts below represent the last twelve transactions made to Juan's checking account. Positive numbers represent deposits and negative numbers represent debits from his account. $28$20$67$22$15$17$47$41$53$13$30$81\begin{array} { l l l l l l l l l l l l } \$ 28 & - \$ 20 & \$ 67 & - \$ 22 & - \$ 15 & \$ 17 & - \$ 47 & \$ 41 & \$ 53 & - \$ 13 & \$ 30 & \$ 81\end{array}

A) $81
B) $34
C) -$128
D) $128
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56
When data are summarized in a frequency distribution, the median can be found by first identifying the median class (the class that contains the median). We then assume that the values in that class are evenly distributed and we can interpolate. This process can be described by  median =( lower limit of median class )+( class width )(n+12(m+1) frequency of median class )\text { median } = ( \text { lower limit of median class } ) + ( \text { class width } ) \left( \frac { \frac { \mathrm { n } + 1 } { 2 } - ( \mathrm { m } + 1 ) } { \text { frequency of median class } } \right) where n is the sum of all class frequencies and m is the sum of the class frequencies that precede the median class. Use this procedure to find the median of the frequency distribution below:

 Score  Frequency 505921606924707925808917909913\begin{array} { c | c } \text { Score } & \text { Frequency } \\\hline 50 - 59 & 21 \\60 - 69 & 24 \\70 - 79 & 25 \\80 - 89 & 17 \\90 - 99 & 13\end{array}

A) 71.6
B) 74.5
C) 71.8
D) 72.2
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57
The heights of the adults in one town have a mean of 66.8 inches and a standard deviation of 3.4 inches. What can you conclude from Chebyshev's theorem about the percentage of adults in the town whose heights are between 60 and 73.6 inches?

A) The percentage is at least 95%
B) The percentage is at most 75%
C) The percentage is at least 75%
D) The percentage is at most 95%
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58
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-The normal monthly precipitation (in inches) for August is listed for 20 different U.S. cities. Find the mean monthly precipitation. 3.51.62.43.74.1\begin{array} { l l l l l l } 3.5 & 1.6 & 2.4 & 3.7 & 4.1 \end{array}
3.91.03.64.23.4\begin{array} { l l l l l } 3.9 & 1.0 & 3.6 & 4.2 & 3.4 \end{array}
3.72.21.54.23.4\begin{array} { l l l l l } 3.7 & 2.2 & 1.5 & 4.2 & 3.4 \end{array}
2.70.43.72.03.6\begin{array} { l l l l l } 2.7 & 0.4 & 3.7 & 2.0 & 3.6 \end{array}

A) 3.09 in.
B) 2.80 in.
C) 3.27 in.
D) 2.94 in.
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59
A department store, on average, has daily sales of $28,567.95. The standard deviation of sales is $ 1000. On Tuesday, the store sold $35,492.00 worth of goods. Find Tuesday's z score. Was Tuesday an unusually good day?

A) 5.54, no
B) 6.92, yes
C) 7.27, no
D) 7.23, yes
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60
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data.

-Christine is currently taking college astronomy. The instructor often gives quizzes. On the past seven quizzes, Christine got the following scores: 40203121125575\begin{array} { l l l l l l l } 40 & 20 & 31 & 21 & 12 & 55 & 75\end{array}

A) 12,196
B) 9216.6
C) 22.3
D) 31
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61
Determine which score corresponds to the higher relative position.
Which is better: a score of 82 on a test with a mean of 70 and a standard deviation of 8, or a score of 82 on a test with a mean of 75 and a standard deviation of 4?

A) The first 82
B) The second 82
C) Both scores have the same relative position.
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62
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-The amount of time (in hours) that Sam studied for an exam on each of the last five days is given below. Find the mean study time.
1.16.16.81.54.1\begin{array} { l l l l l } 1.1 & 6.1 & 6.8 & 1.5 & 4.1\end{array}

A) 19.60 hr
B) 4.96 hr
C) 3.92 hr
D) 5.45 hr
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63
Find the coefficient of variation for each of the two sets of data, then compare the variation. Round results to one decimal place.

-The customer service department of a phone company is experimenting with two different systems. On Monday they try the first system which is based on an automated menu system. On Tuesday they try the second system in which each caller is immediately connected with a live agent. A quality control manager selects a sample of seven calls each day. He records the time for each
Customer to have his or her question answered. The times (in minutes) are listed below.
 Automated Menu: 11.17.43.82.99.26.35.5 Live agent: 6.62.74.14.13.45.23.7\begin{array}{l}\begin{array} { l l l l l l l } \text { Automated Menu: }& 11.1 & 7.4 & 3.8 & 2.9 & 9.2 & 6.3 & 5.5\\\text { Live agent: } & 6.6 & 2.7 & 4.1 & 4.1 & 3.4 & 5.2 & 3.7\end{array}\end{array}

A) Automated Menu: 24.4%
Live agent: 47.5%
There is substantially more variation in the times for the live agent.

B) Automated Menu: 43.9%
Live agent: 30.2%
There is substantially more variation in the times for the automated menu system.

C) Automated Menu: 47.2%
Live agent: 32.4%
There is substantially more variation in the times for the automated menu system.

D) Automated Menu: 45.6%
Live agent: 31.3%
There is substantially more variation in the times for the automated menu system.
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64
The quadratic mean (or root mean square) is usually used in physical applications. In power distribution systems, for example, voltages and currents are usually referred to in terms of their root mean square value. The quadratic mean of a set of values is obtained by squaring each value, adding the results, dividing by the number of values (n), and then taking the square root of that
Result, expressed as
 quadratic mean =x2n\text { quadratic mean } = \sqrt { \frac { \sum x ^ { 2 } } { n } } Find the root mean square of these power supplies (in volts): 56, 53, 22, 20.

A) 20.7 volts
B) 37.8 volts
C) 41.3 volts
D) 75.5 volts
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65
Determine which score corresponds to the higher relative position.
Determine which score corresponds to the higher relative position.
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66
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-Last year, nine employees of an electronics company retired. Their ages at retirement are listed below. Find the mean retirement age. 526367505958655156\begin{array} { l l l } 52 & 63 & 67 \\50 & 59 & 58 \\65 & 51 & 56\end{array}

A) 57.9 yr
B) 56.6 yr
C) 58.0 yr
D) 57.3 yr
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67
Use the given sample data to find Q3Q _ { 3 } .

4952525274675555\begin{array} { l l l l l l l l } 49 & 52 & 52 & 52 & 74 & 67 & 55 & 55 \end{array}

A) 55.0
B) 6.0
C) 61.0
D) 67.0
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68
Jeremy called eight appliance stores and asked the price of a specific model of microwave oven. The prices quoted are listed below:
$115$548$222$580$359$285$317$492\begin{array} { l l l l l l l l } \$ 115 & \$ 548 & \$ 222 & \$ 580 & \$ 359 & \$ 285 & \$ 317 & \$ 492\end{array}

A) $465
B) $115
C) $548
D) $63
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69
The heights of a group of professional basketball players are summarized in the frequency distribution below. Find the standard deviation. Round your answer to one decimal place.  Height (in.)  Frequency 70713727377475167677127879108081482831\begin{array} { c | r } \text { Height (in.) } & \text { Frequency } \\\hline 70 - 71 & 3 \\72 - 73 & 7 \\74 - 75 & 16 \\76 - 77 & 12 \\78 - 79 & 10 \\80 - 81 & 4 \\82 - 83 & 1\end{array}

A) 3.3 in.
B) 3.2 in.
C) 2.9 in.
D) 2.8 in.
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70
For any data set of n values with standard deviation s, every value must be within sn1s \sqrt { n - 1 } of the mean. In a class of 17 students, the heights of the students have a mean of 67.3 inches and a standard deviation of 3.2 inches. The tallest student in class, a hopeful member of the basketball team, claims to be
79.3 inches tall. Could he be telling the truth?

A) Yes
B) No
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71
Find the midrange for the given sample data.

-A meteorologist records the number of clear days in a given year in each of 21 different U.S. cities. The results are shown below. Find the midrange. 721435284100981011209912186605971125130104748355169\begin{array} { r r r r r r r } 72 & 143 & 52 & 84 & 100 & 98 & 101 \\120 & 99 & 121 & 86 & 60 & 59 & 71 \\125 & 130 & 104 & 74 & 83 & 55 & 169\end{array}

A) 112 days
B) 110.5 days
C) 98 days
D) 117 days
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72
Use the range rule of thumb to estimate the standard deviation. Round results to the nearest tenth.

-The race speeds for the top eight cars in a 200-mile race are listed below.
188.8183.0189.2182.1175.6184.6178.3179.4\begin{array} { l l l l l l l l } 188.8 & 183.0 & 189.2 & 182.1 & 175.6 & 184.6 & 178.3 & 179.4\end{array}

A) 7.5
B) 3.4
C) 6.8
D) 1.1
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73
If all the values in a data set are converted to z-scores, the shape of the distribution of the z-scores will be bell-shaped regardless of the distribution of the original data.
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74
Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.

-The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.

15161818181920\begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}
20202121222223\begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}
23242424252526\begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}
27272829293031\begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}
31333435394248\begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48


A)
 <strong>Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.  -The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.   \begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}   \begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}   \begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}   \begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}   \begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48   </strong> A)    B)    C)    D)

B)
 <strong>Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.  -The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.   \begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}   \begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}   \begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}   \begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}   \begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48   </strong> A)    B)    C)    D)

C)
 <strong>Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.  -The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.   \begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}   \begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}   \begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}   \begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}   \begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48   </strong> A)    B)    C)    D)

D)
 <strong>Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots.  -The ages of the 35 members of a track and field team are listed below. Construct a boxplot for the data set.   \begin{array} { l l l l l l l } 15 & 16 & 18 & 18 & 18 & 19 & 20 \end{array}   \begin{array} { l l l l l l l } 20 & 20 & 21 & 21 & 22 & 22 & 23 \end{array}   \begin{array} { l l l l l l l } 23 & 24 & 24 & 24 & 25 & 25 & 26 \end{array}   \begin{array} { l l l l l l l } 27 & 27 & 28 & 29 & 29 & 30 & 31 \end{array}   \begin{array} { l l l l l l } 31 & 33 & 34 & 35 & 39 & 42 \end{array} 48   </strong> A)    B)    C)    D)
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75
Find the variance for the given data. Round your answer to one more decimal place than the original data.

-Jeanne is currently taking college zoology. The instructor often gives quizzes. On the past five quizzes, Jeanne got the following scores: 1677188\begin{array} { l l l l l } 16 & 7 & 7 & 18 & 8\end{array}

A) 28.6
B) 28.7
C) 54.8
D) 23.0
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76
Construct a modified boxplot for the data. Identify any outliers.

-The weights (in ounces) of 27 tomatoes are listed below.
1.72.02.22.22.42.52.52.52.6\begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}
2.62.62.72.72.72.82.82.82.9\begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}
2.92.93.03.03.13.13.33.64.2\begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}

A) Outliers: 1.7 oz, 4.2 oz
 <strong>Construct a modified boxplot for the data. Identify any outliers.  -The weights (in ounces) of 27 tomatoes are listed below.  \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}  </strong> A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz

B) No outliers
 <strong>Construct a modified boxplot for the data. Identify any outliers.  -The weights (in ounces) of 27 tomatoes are listed below.  \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}  </strong> A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz

C) Outlier: 4.2 oz
 <strong>Construct a modified boxplot for the data. Identify any outliers.  -The weights (in ounces) of 27 tomatoes are listed below.  \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}  </strong> A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz

D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz
 <strong>Construct a modified boxplot for the data. Identify any outliers.  -The weights (in ounces) of 27 tomatoes are listed below.  \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}  </strong> A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz


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77
The ages of the members of a gym have a mean of 48 years and a standard deviation of 10 years. What can you conclude from Chebyshev's theorem about the percentage of gym members aged between 26 and 70?

A) The percentage is at least 79.3%
B) The percentage is approximately 54.5%
C) The percentage is at least 54.5%
D) The percentage is at most 79.3%
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78
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.

-Listed below are the amounts of time (in months) that the employees of a restaurant have been working at the restaurant. Find the mean. 137813141924518099130145167\begin{array} { l l l l l l l l l l l l l l } 1 & 3 & 7 & 8 & 13 & 14 & 19 & 24 & 51 & 80 & 99 & 130 & 145 & 167\end{array}

A) 21.5 months
B) 54.4 months
C) 58.5 months
D) 50.7 months
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79
Find the mode(s) for the given sample data.

- 804632462980\begin{array} { l l l l l l } 80 & 46 & 32 & 46 & 29 & 80\end{array}

A) 80
B) 80, 46
C) 46
D) 52.2
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80
Find the midrange for the given sample data.

-The speeds (in mph) of the cars passing a certain checkpoint are measured by radar. The results are shown below. Find the midrange. 44.141.742.440.243.9\begin{array} { l l l l l } 44.1 & 41.7 & 42.4 & 40.2 & 43.9 \end{array}
40.245.041.944.142.2\begin{array} { l l l l l } 40.2 & 45.0 & 41.9 & 44.1 & 42.2 \end{array}
44.041.940.244.041.7\begin{array} { l l l l l } 44.0 & 41.9 & 40.2 & 44.0 & 41.7 \end{array}

A) 4.80 mph
B) 42.2 mph
C) 42.60 mph
D) 42.15 mph
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