2.7 Exercises

1. In a survey, [latex]40[/latex] people were asked how many times they visited a store before making a major purchase. The results are shown in the table.  Construct a line graph.

2. In a survey, several people were asked how many years it has been since they purchased a mattress. The results are shown in the table.  Construct a line graph.

3. Several children were asked how many TV shows they watch each day. The results of the survey are shown in the table.  Construct a line graph.

4. The students in Ms. Ramirez’s math class have birthdays in each of the four seasons. The table shows the four seasons, the number of students who have birthdays in each season, and the percentage (%) of students in each group. Construct a bar graph showing the number of students.

5. Using the data from Mrs. Ramirez’s math class supplied in the tables, construct a bar graph showing the percentages.

6. David County has six high schools. Each school sent students to participate in a county-wide science competition. The table shows the percentage breakdown of competitors from each school, and the percentage of the entire student population of the county that goes to each school. Construct a bar graph that shows the population percentage of competitors from each school.

7. Use the data from the David County science competition supplied in the table above. Construct a bar graph that shows the county-wide population percentage of students at each school.

8. The table contains the 2010 obesity rates in U.S. states and Washington, DC.

1. Use a random number generator to randomly pick eight states. Construct a bar graph of the obesity rates of those eight states.
2. Construct a bar graph for all the states beginning with the letter “A.”
3. Construct a bar graph for all the states beginning with the letter “M.”

9. Sixty-five randomly selected car salespersons were asked the number of cars they generally sell in one week. Fourteen people answered that they generally sell three cars; nineteen generally sell four cars; twelve generally sell five cars; nine generally sell six cars; eleven generally sell seven cars. Complete the table.

1. What does the frequency column sum to? Why?
2. What does the relative frequency column sum to? Why?
3. What is the difference between relative frequency and frequency for each data value?
4. What is the difference between cumulative relative frequency and relative frequency for each data value?
5. To construct the histogram for the data, determine appropriate minimum and maximum [latex]x[/latex] and[latex]y[/latex] values and the scaling. Sketch the histogram. Label the horizontal and vertical axes with words. Include numerical scaling.

10. Construct a frequency polygon for the following:

1. Pulse Rates for Women	Frequency
   [latex]60–69[/latex]	[latex]12[/latex]
   [latex]70–79[/latex]	[latex]14[/latex]
   [latex]80–89[/latex]	[latex]11[/latex]
   [latex]90–99[/latex]	[latex]1[/latex]
   [latex]100–109[/latex]	[latex]1[/latex]
   [latex]110–119[/latex]	[latex]0[/latex]
   [latex]120–129[/latex]	[latex]1[/latex]

2. Actual Speed in a [latex]30[/latex] MPH Zone	Frequency
   [latex]42–45[/latex]	[latex]25[/latex]
   [latex]46–49[/latex]	[latex]14[/latex]
   [latex]50–53[/latex]	[latex]7[/latex]
   [latex]54–57[/latex]	[latex]3[/latex]
   [latex]58–61[/latex]	[latex]1[/latex]

3. Tar (mg) in Nonfiltered Cigarettes	Frequency
   [latex]10–13[/latex]	[latex]1[/latex]
   [latex]14–17[/latex]	[latex]0[/latex]
   [latex]18–21[/latex]	[latex]15[/latex]
   [latex]22–25[/latex]	[latex]7[/latex]
   [latex]26–29[/latex]	[latex]2[/latex]

11. Construct a frequency polygon from the frequency distribution for the [latex]50[/latex] highest ranked countries for depth of hunger.

12. Use the two frequency tables to compare the life expectancy of men and women from [latex]20[/latex] randomly selected countries. Include an overlayed frequency polygon and discuss the shapes of the distributions, the center, the spread, and any outliers. What can we conclude about the life expectancy of women compared to men?

13. Construct a times series graph for (a) the number of male births, (b) the number of female births, and (c) the total number of births.

14. The following data sets list full-time police per [latex]100,000[/latex] citizens along with homicides per [latex]100,000[/latex] citizens for the city of Detroit, Michigan during the period from 1961 to 1973.

1. Construct a double time series graph using a common [latex]x[/latex]-axis for both sets of data.
2. Which variable increased the fastest? Explain.
3. Did Detroit’s increase in police officers have an impact on the murder rate? Explain.

15. Suppose that three book publishers were interested in the number of fiction paperbacks adult consumers purchase per month. Each publisher conducted a survey. In the survey, adult consumers were asked the number of fiction paperbacks they had purchased the previous month. The results are as follows:

1. Find the relative frequencies for each survey. Write them in the charts.
2. Using either a graphing calculator, computer, or by hand, use the frequency column to construct a histogram for each publisher’s survey. For Publishers A and B, make bar widths of one. For Publisher C, make bar widths of two.
3. In complete sentences, give two reasons why the graphs for Publishers A and B are not identical.
4. Would you have expected the graph for Publisher C to look like the other two graphs? Why or why not?
5. Make new histograms for Publisher A and Publisher B. This time, make bar widths of two.
6. Now, compare the graph for Publisher C to the new graphs for Publishers A and B. Are the graphs more similar or more different? Explain your answer.

16. Often, cruise ships conduct all on-board transactions, with the exception of gambling, on a cashless basis. At the end of the cruise, guests pay one bill that covers all onboard transactions. Suppose that [latex]60[/latex] single travelers and [latex]70[/latex] couples were surveyed as to their on-board bills for a seven-day cruise from Los Angeles to the Mexican Riviera. Following is a summary of the bills for each group.

1. Fill in the relative frequency for each group.
2. Construct a histogram for the singles group. Scale the [latex]x[/latex]-axis by [latex]\$50[/latex] widths. Use relative frequency on the [latex]y[/latex]-axis.
3. Construct a histogram for the couples group. Scale the [latex]x[/latex]-axis by [latex]\$50[/latex] widths. Use relative frequency on the [latex]y[/latex]-axis.
4. Compare the two graphs:
   1. List two similarities between the graphs.
   2. List two differences between the graphs.
   3. Overall, are the graphs more similar or different?
5. Construct a new graph for the couples by hand. Since each couple is paying for two individuals, instead of scaling the [latex]x[/latex]-axis by [latex]\$50[/latex], scale it by [latex]\$100[/latex]. Use relative frequency on the [latex]y[/latex]-axis.
6. Compare the graph for the singles with the new graph for the couples:
   1. List two similarities between the graphs.
   2. Overall, are the graphs more similar or different?
7. How did scaling the couples graph differently change the way you compared it to the singles graph?
8. Based on the graphs, do you think that individuals spend the same amount, more or less, as singles as they do person by person as a couple? Explain why in one or two complete sentences.

17. Twenty-five randomly selected students were asked the number of movies they watched the previous week. The results are as follows.

1. Construct a histogram of the data.
2. Complete the columns of the chart.

18. Suppose one hundred eleven people who shopped in a special t-shirt store were asked the number of t-shirts they own costing more than [latex]$19[/latex] each.

1. The percentage of people who own at most three t-shirts costing more than [latex]$19[/latex] each is approximately:
2. If the data were collected by asking the first [latex]111[/latex] people who entered the store, then the type of sampling is:

19. Following are the 2010 obesity rates by U.S. states and Washington, DC. Construct a bar graph of obesity rates of your state and the four states closest to your state. Hint: Label the [latex]x[/latex]-axis with the states.

20. Listed are 29 ages for Academy Award winning best actors in order from smallest to largest.
[latex]18[/latex]; [latex]21[/latex]; [latex]22[/latex]; [latex]25[/latex]; [latex]26[/latex]; [latex]27[/latex]; [latex]29[/latex]; [latex]30[/latex]; [latex]31[/latex]; [latex]33[/latex]; [latex]36[/latex]; [latex]37[/latex]; [latex]41[/latex]; [latex]42[/latex]; [latex]47[/latex]; [latex]52[/latex]; [latex]55[/latex]; [latex]57[/latex]; [latex]58[/latex]; [latex]62[/latex]; [latex]64[/latex]; [latex]67[/latex]; [latex]69[/latex]; [latex]71[/latex]; [latex]72[/latex]; [latex]73[/latex]; [latex]74[/latex]; [latex]76[/latex]; [latex]77[/latex]

1. Find the [latex]40[/latex]^th percentile.
2. Find the [latex]78[/latex]^th percentile.

21. Listed are [latex]32[/latex] ages for Academy Award winning best actors in order from smallest to largest.[latex]18[/latex]; [latex]18[/latex]; [latex]21[/latex]; [latex]22[/latex]; [latex]25[/latex]; [latex]26[/latex]; [latex]27[/latex]; [latex]29[/latex]; [latex]30[/latex]; [latex]31[/latex]; [latex]31[/latex]; [latex]33[/latex]; [latex]36[/latex]; [latex]37[/latex]; [latex]37[/latex]; [latex]41[/latex]; [latex]42[/latex]; [latex]47[/latex]; [latex]52[/latex]; [latex]55[/latex]; [latex]57[/latex]; [latex]58[/latex]; [latex]62[/latex]; [latex]64[/latex]; [latex]67[/latex]; [latex]69[/latex]; [latex]71[/latex]; [latex]72[/latex]; [latex]73[/latex]; [latex]74[/latex]; [latex]76[/latex]; [latex]77[/latex]

1. Find the percentile of [latex]37[/latex].
2. Find the percentile of [latex]72[/latex].

22.

1. For runners in a race, a low time means a faster run. The winners in a race have the shortest running times. Is it more desirable to have a finish time with a high or a low percentile when running a race?
2. Jesse was ranked [latex]37[/latex]^th in his graduating class of 180 students. At what percentile is Jesse’s ranking?
3. The [latex]20[/latex]^th percentile of run times in a particular race is [latex]5.2[/latex] minutes. Write a sentence interpreting the [latex]20[/latex]^th percentile in the context of the situation.
4. A bicyclist in the [latex]90[/latex]^th percentile of a bicycle race completed the race in [latex]1[/latex] hour and [latex]12[/latex] minutes. Is he among the fastest or slowest cyclists in the race? Write a sentence interpreting the [latex]90[/latex]^th percentile in the context of the situation.
5. For runners in a race, a higher speed means a faster run. Is it more desirable to have a speed with a high or a low percentile when running a race?
6. Jesse was ranked [latex]37[/latex]th in his graduating class of 180 students. At what percentile is Jesse’s ranking?
7. The [latex]40[/latex]^th percentile of speeds in a particular race is [latex]7.5[/latex] miles per hour. Write a sentence interpreting the [latex]40[/latex]^th percentile in the context of the situation.

23. On an exam, would it be more desirable to earn a grade with a high or low percentile? Explain.

24. Mina is waiting in line at the Department of Motor Vehicles (DMV). Her wait time of [latex]32[/latex] minutes is the [latex]85[/latex]^th percentile of wait times. Is that good or bad? Write a sentence interpreting the [latex]85[/latex]^th percentile in the context of this situation.

25. In a survey collecting data about the salaries earned by recent college graduates, Li found that her salary was in the [latex]78[/latex]^th percentile. Should Li be pleased or upset by this result? Explain.

26. In a study collecting data about the repair costs of damage to automobiles in a certain type of crash tests, a certain model of car had [latex]$1,700[/latex] in damage and was in the [latex]90[/latex]^th percentile. Should the manufacturer and the consumer be pleased or upset by this result? Explain and write a sentence that interprets the [latex]90[/latex]^th percentile in the context of this problem.

27. The University of California has two criteria used to set admission standards for freshman to be admitted to a college in the UC system:

1. Students’ GPAs and scores on standardized tests (SATs and ACTs) are entered into a formula that calculates an “admissions index” score. The admissions index score is used to set eligibility standards intended to meet the goal of admitting the top [latex]12\%[/latex] of high school students in the state. In this context, what percentile does the top [latex]12\%[/latex]% represent?
2. Students whose GPAs are at or above the [latex]96[/latex]^th percentile of all students at their high school are eligible (called eligible in the local context), even if they are not in the top [latex]12\%[/latex] of all students in the state. What percentage of students from each high school are “eligible in the local context”?

28. Suppose that you are buying a house. You and your realtor have determined that the most expensive house you can afford is the [latex]34[/latex]^th percentile. The [latex]34[/latex]^th percentile of housing prices is [latex]\$240,000[/latex] in the town you want to move to.

1. In this town, can you afford [latex]34\%[/latex] of the houses or [latex]66\%[/latex] of the houses?
2. Calculate the following:
   1. First quartile
   2. Second quartile
   3. Third quartile
   4. Interquartile range ([latex]IQR[/latex])
   5. [latex]10[/latex]^th percentile 
   6. [latex]70[/latex]^th percentile 

29. The median age for U.S. blacks currently is [latex]30.9[/latex] years; for U.S. whites it is [latex]42.3[/latex] years. Based upon this information, give two reasons why the black median age could be lower than the white median age. Does the lower median age for blacks necessarily mean that blacks die younger than whites? Why or why not? How might it be possible for blacks and whites to die at approximately the same age, but for the median age for whites to be higher?

30. Six hundred adult Americans were asked by telephone poll, “What do you think constitutes a middle-class income?” The results are in the table. Also, include left endpoint, but not the right endpoint.

1. What percentage of the survey answered “not sure”?
2. What percentage think that middle-class is from [latex]$25,000[/latex] to [latex]$50,000[/latex]?
3. Construct a histogram of the data.
   1. Should all bars have the same width, based on the data? Why or why not?
   2. How should the <[latex]20,000[/latex] and the [latex]100,000+[/latex] intervals be handled? Why?
4. Find the [latex]40[/latex]^th and [latex]80[/latex]^th percentiles
5. Construct a bar graph of the data

31.  Find the mean for the following frequency tables:

1. Grade	Frequency
   [latex]49.5–59.5[/latex]	[latex]2[/latex]
   [latex]59.5–69.5[/latex]	[latex]3[/latex]
   [latex]69.5–79.5[/latex]	[latex]8[/latex]
   [latex]79.5–89.5[/latex]	[latex]12[/latex]
   [latex]89.5–99.5[/latex]	[latex]5[/latex]

2. Daily Low Temperature	Frequency
   [latex]49.5–59.5[/latex]	[latex]53[/latex]
   [latex]59.5–69.5[/latex]	[latex]32[/latex]
   [latex]69.5–79.5[/latex]	[latex]15[/latex]
   [latex]79.5–89.5[/latex]	[latex]1[/latex]
   [latex]89.5–99.5[/latex]	[latex]0[/latex]

3. Points per Game	Frequency
   [latex]49.5–59.5[/latex]	[latex]14[/latex]
   [latex]59.5–69.5[/latex]	[latex]32[/latex]
   [latex]69.5–79.5[/latex]	[latex]15[/latex]
   [latex]79.5–89.5[/latex]	[latex]23[/latex]
   [latex]89.5–99.5[/latex]	[latex]2[/latex]

32.  The following data shows the lengths of boats moored in a marina:

[latex]16[/latex]; [latex]17[/latex]; [latex]19[/latex]; [latex]20[/latex]; [latex]20[/latex]; [latex]21[/latex]; [latex]23[/latex]; [latex]24[/latex]; [latex]25[/latex]; [latex]25[/latex]; [latex]25[/latex]; [latex]26[/latex]; [latex]26[/latex]; [latex]27[/latex]; [latex]27[/latex]; [latex]27[/latex]; [latex]28[/latex]; [latex]29[/latex]; [latex]30[/latex]; [latex]32[/latex]; [latex]33[/latex]; [latex]33[/latex]; [latex]34[/latex]; [latex]35[/latex]; [latex]37[/latex]; [latex]39[/latex]; [latex]40[/latex]

1. Calculate the mean.
2. Calculate the median.
3. Find the mode.

33. Sixty-five randomly selected car salespersons were asked the number of cars they generally sell in one week. Fourteen people answered that they generally sell three cars; nineteen generally sell four cars; twelve generally sell five cars; nine generally sell six cars; eleven generally sell seven cars. Calculate the following:

1. Mean
2. Median
3. Mode

34. The most obese countries in the world have obesity rates that range from [latex]11.4[/latex]% to [latex]74.6[/latex]%. This data is summarized in the following table.

1. What is the best estimate of the average obesity percentage for these countries?
2. The United States has an average obesity rate of [latex]33.9[/latex]%. Is this rate above average or below?
3. How does the United States compare to other countries?

35. The table gives the percent of children under five considered to be underweight. What is the best estimate for the mean percentage of underweight children?

36. Javier and Ercilia are supervisors at a shopping mall. Each was given the task of estimating the mean distance that shoppers live from the mall. They each randomly surveyed [latex]100[/latex] shoppers. The samples yielded the following information.

1. How can you determine which survey was correct ?
2. Explain what the difference in the results of the surveys implies about the data.
3. If the two histograms depict the distribution of values for each supervisor, which one depicts Ercilia’s sample? How do you know?
   

   

37. We are interested in the number of years students in a particular elementary statistics class have lived in California. The information in the following table is from the entire section.

1. What is the [latex]IQR[/latex]?
2. What is the mode?
3. Is this a sample or the entire population?

38. State whether the data are symmetrical, skewed to the left, or skewed to the right.

1. [latex]1[/latex]; [latex]1[/latex]; [latex]1[/latex]; [latex]2[/latex]; [latex]2[/latex]; [latex]2[/latex]; [latex]2[/latex]; [latex]3[/latex]; [latex]3[/latex]; [latex]3[/latex]; [latex]3[/latex]; [latex]3[/latex]; [latex]3[/latex]; [latex]3[/latex]; [latex]3[/latex]; [latex]4[/latex]; [latex]4[/latex]; [latex]4[/latex]; [latex]5[/latex]; [latex]5[/latex]
2. [latex]16[/latex]; [latex]17[/latex]; [latex]19[/latex]; [latex]22[/latex]; [latex]22[/latex]; [latex]22[/latex]; [latex]22[/latex]; [latex]22[/latex]; [latex]23[/latex]
3. [latex]87[/latex]; [latex]87[/latex]; [latex]87[/latex]; [latex]87[/latex]; [latex]87[/latex]; [latex]88[/latex]; [latex]89[/latex]; [latex]89[/latex]; [latex]90[/latex]; [latex]91[/latex]

39. When the data are skewed left, what is the typical relationship between the mean and median?

40. When the data are symmetrical, what is the typical relationship between the mean and median?

41. What word describes a distribution that has two modes?

42. Describe the shape of this distribution.

43. Describe the relationship between the mode and the median of this distribution.

44. Describe the relationship between the mean and the median of this distribution.

45. Describe the shape of this distribution.

46. Describe the relationship between the mode and the median of this distribution.

47. Are the mean and the median the exact same in this distribution? Why or why not?

48. Describe the shape of this distribution.

49. Describe the relationship between the mode and the median of this distribution.

50. Describe the relationship between the mean and the median of this distribution.

51. The mean and median for the data are the same.

[latex]3[/latex]; [latex]4[/latex]; [latex]5[/latex]; [latex]5[/latex]; [latex]6[/latex]; [latex]6[/latex]; [latex]6[/latex]; [latex]6[/latex]; [latex]7[/latex]; [latex]7[/latex]; [latex]7[/latex]; [latex]7[/latex]; [latex]7[/latex]; [latex]7[/latex]; [latex]7[/latex]

Is the data perfectly symmetrical? Why or why not?

52. Which is the greatest, the mean, the mode, or the median of the data set?

[latex]11[/latex]; [latex]11[/latex]; [latex]12[/latex]; [latex]12[/latex]; [latex]12[/latex]; [latex]12[/latex]; [latex]13[/latex]; [latex]15[/latex]; [latex]17[/latex]; [latex]22[/latex]; [latex]22[/latex]; [latex]22[/latex]

53. Which is the least, the mean, the mode, and the median of the data set?

[latex]56[/latex]; [latex]56[/latex]; [latex]56[/latex]; [latex]58[/latex]; [latex]59[/latex]; [latex]60[/latex]; [latex]62[/latex]; [latex]64[/latex]; [latex]64[/latex]; [latex]65[/latex]; [latex]67[/latex]

54. Of the three measures, which tends to reflect skewing the most, the mean, the mode, or the median? Why?

55. In a perfectly symmetrical distribution, when would the mode be different from the mean and median?

56. The median age of the U.S. population in 1980 was [latex]30.0[/latex] years. In 1991, the median age was [latex]33.1[/latex] years.

1. What does it mean for the median age to rise?
2. Give two reasons why the median age could rise.
3. For the median age to rise, is the actual number of children less in 1991 than it was in 1980? Why or why not?

57. The following data are the distances between [latex]20[/latex] retail stores and a large distribution center. The distances are in miles.

 [latex]29[/latex]; [latex]37[/latex]; [latex]38[/latex]; [latex]40[/latex]; [latex]58[/latex]; [latex]67[/latex]; [latex]68[/latex]; [latex]69[/latex]; [latex]76[/latex]; [latex]86[/latex]; [latex]87[/latex]; [latex]95[/latex]; [latex]96[/latex]; [latex]96[/latex]; [latex]99[/latex]; [latex]106[/latex]; [latex]112[/latex]; [latex]127[/latex]; [latex]145[/latex]; [latex]150[/latex]

1. Find the standard deviation and round to the nearest tenth.
2. Find the value that is one standard deviation below the mean.

58. Two baseball players, Fredo and Karl, on different teams wanted to find out who had the higher batting average when compared to his team.

1. Which baseball player had the higher batting average when compared to his team?
2. Use the table above to find the value that is three standard deviations above the mean.
3. Use the table below to find the value that is three standard deviations above the mean.

59. Find the standard deviation for the following frequency tables using the formula.

1. Grade	Frequency
   [latex]49.5–59.5[/latex]	[latex]2[/latex]
   [latex]59.5–69.5[/latex]	[latex]3[/latex]
   [latex]69.5–79.5[/latex]	[latex]8[/latex]
   [latex]79.5–89.5[/latex]	[latex]12[/latex]
   [latex]89.5–99.5[/latex]	[latex]5[/latex]

2. Daily Low Temperature	Frequency
   [latex]49.5–59.5[/latex]	[latex]53[/latex]
   [latex]59.5–69.5[/latex]	[latex]32[/latex]
   [latex]69.5–79.5[/latex]	[latex]15[/latex]
   [latex]79.5–89.5[/latex]	[latex]1[/latex]
   [latex]89.5–99.5[/latex]	[latex]0[/latex]

3. Points per Game	Frequency
   [latex]49.5–59.5[/latex]	[latex]14[/latex]
   [latex]59.5–69.5[/latex]	[latex]32[/latex]
   [latex]69.5–79.5[/latex]	[latex]15[/latex]
   [latex]79.5–89.5[/latex]	[latex]23[/latex]
   [latex]89.5–99.5[/latex]	[latex]2[/latex]

60. The population parameters below describe the full-time equivalent number of students (FTES) each year at Lake Tahoe Community College from 1976–1977 through 2004–2005.

• [latex]\mu[/latex] = [latex]1000[/latex] FTES
• median = [latex]1,014[/latex] FTES
• [latex]\sigma[/latex] = [latex]474[/latex] FTES
• first quartile = [latex]528.5[/latex] FTES
• third quartile = [latex]1,447.5[/latex] FTES
• [latex]n[/latex] = [latex]29[/latex] years

1. A sample of [latex]11[/latex] years is taken. About how many are expected to have a FTES of [latex]1014[/latex] or above? Explain how you determined your answer.
2. [latex]75\%[/latex] of all years have an FTES:
   1. at or below what value?
   2. at or above what value?
3. Find the population standard deviation.
4. What percent of the FTES were from [latex]528.5[/latex] to [latex]1447.5[/latex]? How do you know?
5. What is the [latex]IQR[/latex]? What does the [latex]IQR[/latex] represent?
6. How many standard deviations away from the mean is the median?

The population FTES for 2005–2006 through 2010–2011 was given in an updated report. The data are reported here.

7. Calculate the mean, median, standard deviation, the first quartile, the third quartile and the [latex]IQR[/latex]. Round to one decimal place.
8. Construct a box plot for the FTES for 2005–2006 through 2010–2011 and a box plot for the FTES for 1976–1977 through 2004–2005.
9. Compare the [latex]IQR[/latex] for the FTES for 1976–77 through 2004–2005 with the [latex]IQR[/latex] for the FTES for 2005-2006 through 2010–2011. Why do you suppose the [latex]IQR[/latex]s are so different?

61. Three students were applying to the same graduate school. They came from schools with different grading systems. Which student had the best GPA when compared to other students at his school? Explain how you determined your answer.

62. A music school has budgeted to purchase three musical instruments. They plan to purchase a piano costing $[latex]3,000[/latex], a guitar costing $[latex]550[/latex], and a drum set costing $[latex]600[/latex]. The mean cost for a piano is $[latex]4,000[/latex] with a standard deviation of $[latex]2,500[/latex]. The mean cost for a guitar is $[latex]500[/latex] with a standard deviation of $[latex]200[/latex]. The mean cost for drums is $[latex]700[/latex] with a standard deviation of $[latex]100[/latex]. Which cost is the lowest, when compared to other instruments of the same type? Which cost is the highest when compared to other instruments of the same type. Justify your answer.

63. An elementary school class ran one mile with a mean of [latex]11[/latex] minutes and a standard deviation of three minutes. Rachel, a student in the class, ran one mile in eight minutes. A junior high school class ran one mile with a mean of nine minutes and a standard deviation of two minutes. Kenji, a student in the class, ran one mile in [latex]8.5[/latex] minutes. A high school class ran one mile with a mean of seven minutes and a standard deviation of four minutes. Nedda, a student in the class, ran one mile in eight minutes.

1. Why is Kenji considered a better runner than Nedda, even though Nedda ran faster than he?
2. Who is the fastest runner with respect to his or her class? Explain why.

64. The most obese countries in the world have obesity rates that range from [latex]11.4[/latex]% to [latex]74.6[/latex]%. This data is summarized in the following table.

What is the best estimate of the average obesity percentage for these countries? What is the standard deviation for the listed obesity rates? The United States has an average obesity rate of 33.9%. Is this rate above average or below? How “unusual” is the United States’ obesity rate compared to the average rate? Explain.

65. The table gives the percent of children under five considered to be underweight.

What is the best estimate for the mean percentage of underweight children? What is the standard deviation? Which interval(s) could be considered unusual? Explain.

66. Twenty-five randomly selected students were asked the number of movies they watched the previous week. The results are as follows:

1. Find the sample mean [latex]\bar{x}[/latex].
2. Find the approximate sample standard deviation, [latex]s[/latex].

67. Forty randomly selected students were asked the number of pairs of sneakers they owned. Let [latex]X[/latex] = the number of pairs of sneakers owned. The results are as follows:

1. Find the sample mean [latex]\bar{x}[/latex]
2. Find the sample standard deviation, [latex]s[/latex]
3. Construct a histogram of the data.
4. Complete the columns of the chart.
5. Find the first quartile.
6. Find the median.
7. Find the third quartile.
8. Construct a box plot of the data.
9. What percent of the students owned at least five pairs?
10. Find the [latex]40[/latex]^th percentile.
11. Find the [latex]90[/latex]^th percentile.
12. Construct a line graph of the data
13. Construct a stemplot of the data

68. Following are the published weights (in pounds) of all of the team members of the San Francisco 49ers from a previous year.

[latex]177[/latex]; [latex]205[/latex]; [latex]210[/latex]; [latex]210[/latex]; [latex]232[/latex]; [latex]205[/latex]; [latex]185[/latex]; [latex]185[/latex]; [latex]178[/latex]; [latex]210[/latex]; [latex]206[/latex]; [latex]212[/latex]; [latex]184[/latex]; [latex]174[/latex]; [latex]185[/latex]; [latex]242[/latex]; [latex]188[/latex]; [latex]212[/latex]; [latex]215[/latex]; [latex]247[/latex]; [latex]241[/latex]; [latex]223[/latex]; [latex]220[/latex]; [latex]260[/latex]; [latex]245[/latex]; [latex]259[/latex]; [latex]278[/latex]; [latex]270[/latex]; [latex]280[/latex]; [latex]295[/latex]; [latex]275[/latex]; [latex]285[/latex]; [latex]290[/latex]; [latex]272[/latex]; [latex]273[/latex]; [latex]280[/latex]; [latex]285[/latex]; [latex]286[/latex]; [latex]200[/latex]; [latex]215[/latex]; [latex]185[/latex]; [latex]230[/latex]; [latex]250[/latex]; [latex]241[/latex]; [latex]190[/latex]; [latex]260[/latex]; [latex]250[/latex]; [latex]302[/latex]; [latex]265[/latex]; [latex]290[/latex]; [latex]276[/latex]; [latex]228[/latex]; [latex]265[/latex]

1. Organize the data from smallest to largest value.
2. Find the median.
3. Find the first quartile.
4. Find the third quartile.
5. Construct a box plot of the data.
6. The middle [latex]50[/latex]% of the weights are from _______ to _______.
7. If our population were all professional football players, would the above data be a sample of weights or the population of weights? Why?
8. If our population included every team member who ever played for the San Francisco 49ers, would the above data be a sample of weights or the population of weights? Why?
9. Assume the population was the San Francisco 49ers. Find:
   1. the population mean, [latex]μ[/latex].
   2. the population standard deviation, [latex]σ[/latex].
   3. the weight that is two standard deviations below the mean.
   4. When Steve Young, quarterback, played football, he weighed [latex]205[/latex] pounds. How many standard deviations above or below the mean was he?
10. That same year, the mean weight for the Dallas Cowboys was [latex]240.08[/latex] pounds with a standard deviation of [latex]44.38[/latex] pounds. Emmit Smith weighed in at [latex]209[/latex] pounds. With respect to his team, who was lighter, Smith or Young? How did you determine your answer?

69. One hundred teachers attended a seminar on mathematical problem solving. The attitudes of a representative sample of [latex]12[/latex] of the teachers were measured before and after the seminar. A positive number for change in attitude indicates that a teacher’s attitude toward math became more positive. The [latex]12[/latex] change scores are as follows:

1. What is the mean change score?
2. What is the standard deviation for this population?
3. What is the median change score?
4. Find the change score that is [latex]2.2[/latex] standard deviations below the mean.

70. In a recent issue of the IEEE Spectrum, [latex]84[/latex] engineering conferences were announced. Four conferences lasted two days. Thirty-six lasted three days. Eighteen lasted four days. Nineteen lasted five days. Four lasted six days. One lasted seven days. One lasted eight days. One lasted nine days. Let [latex]X[/latex] = the length (in days) of an engineering conference.