Skip to main content
Statistics LibreTexts

2.11: Chapter 2 Homework

  • Page ID
    5337
  • 2.1 Display Data

    84.

    Table 2.63 contains the 2010 obesity rates in U.S. states and Washington, DC.

    State Percent (%) State Percent (%) State Percent (%)
    Alabama 32.2 Kentucky 31.3 North Dakota 27.2
    Alaska 24.5 Louisiana 31.0 Ohio 29.2
    Arizona 24.3 Maine 26.8 Oklahoma 30.4
    Arkansas 30.1 Maryland 27.1 Oregon 26.8
    California 24.0 Massachusetts 23.0 Pennsylvania 28.6
    Colorado 21.0 Michigan 30.9 Rhode Island 25.5
    Connecticut 22.5 Minnesota 24.8 South Carolina 31.5
    Delaware 28.0 Mississippi 34.0 South Dakota 27.3
    Washington, DC 22.2 Missouri 30.5 Tennessee 30.8
    Florida 26.6 Montana 23.0 Texas 31.0
    Georgia 29.6 Nebraska 26.9 Utah 22.5
    Hawaii 22.7 Nevada 22.4 Vermont 23.2
    Idaho 26.5 New Hampshire 25.0 Virginia 26.0
    Illinois 28.2 New Jersey 23.8 Washington 25.5
    Indiana 29.6 New Mexico 25.1 West Virginia 32.5
    Iowa 28.4 New York 23.9 Wisconsin 26.3
    Kansas 29.4 North Carolina 27.8 Wyoming 25.1

    Table 2.63

    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."
    85.

    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:

    # of books Freq. Rel. freq.
    0 10  
    1 12  
    2 16  
    3 12  
    4 8  
    5 6  
    6 2  
    8 2  

    Table 2.64 Publisher A

    # of books Freq. Rel. freq.
    0 18  
    1 24  
    2 24  
    3 22  
    4 15  
    5 10  
    7 5  
    9 1  

    Table 2.65 Publisher B

    # of books Freq. Rel. freq.
    0–1 20  
    2–3 35  
    4–5 12  
    6–7 2  
    8–9 1  

    Table 2.66 Publisher C

    1. Find the relative frequencies for each survey. Write them in the charts.
    2. 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.
    86.

    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 60 single travelers and 70 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.

    Amount($) Frequency Rel. frequency
    51–100 5  
    101–150 10  
    151–200 15  
    201–250 15  
    251–300 10  
    301–350 5  

    Table 2.67 Singles

    Amount($) Frequency Rel. frequency
    100–150 5  
    201–250 5  
    251–300 5  
    301–350 5  
    351–400 10  
    401–450 10  
    451–500 10  
    501–550 10  
    551–600 5  
    601–650 5  

    Table 2.68 Couples

    1. Fill in the relative frequency for each group.
    2. Construct a histogram for the singles group. Scale the x-axis by $50 widths. Use relative frequency on the y-axis.
    3. Construct a histogram for the couples group. Scale the x-axis by $50 widths. Use relative frequency on the y-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 x-axis by $50, scale it by $100. Use relative frequency on the y-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.
    87.

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

    # of movies Frequency Relative frequency Cumulative relative frequency
    0 5    
    1 9    
    2 6    
    3 4    
    4 1    

    Table 2.69

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

    Use the following information to answer the next two exercises: 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 $19 each.

    A histogram showing the results of a survey.  Of 111 respondents, 5 own 1 t-shirt costing more than $19, 17 own 2, 23 own 3, 39 own 4, 25 own 5, 2 own 6, and no respondents own 7.
    88.

    The percentage of people who own at most three t-shirts costing more than $19 each is approximately:

    1. 21
    2. 59
    3. 41
    4. Cannot be determined
    89.

    If the data were collected by asking the first 111 people who entered the store, then the type of sampling is:

    1. cluster
    2. simple random
    3. stratified
    4. convenience
    90.

    Following are the 2010 obesity rates by U.S. states and Washington, DC.

    State Percent (%) State Percent (%) State Percent (%)
    Alabama 32.2 Kentucky 31.3 North Dakota 27.2
    Alaska 24.5 Louisiana 31.0 Ohio 29.2
    Arizona 24.3 Maine 26.8 Oklahoma 30.4
    Arkansas 30.1 Maryland 27.1 Oregon 26.8
    California 24.0 Massachusetts 23.0 Pennsylvania 28.6
    Colorado 21.0 Michigan 30.9 Rhode Island 25.5
    Connecticut 22.5 Minnesota 24.8 South Carolina 31.5
    Delaware 28.0 Mississippi 34.0 South Dakota 27.3
    Washington, DC 22.2 Missouri 30.5 Tennessee 30.8
    Florida 26.6 Montana 23.0 Texas 31.0
    Georgia 29.6 Nebraska 26.9 Utah 22.5
    Hawaii 22.7 Nevada 22.4 Vermont 23.2
    Idaho 26.5 New Hampshire 25.0 Virginia 26.0
    Illinois 28.2 New Jersey 23.8 Washington 25.5
    Indiana 29.6 New Mexico 25.1 West Virginia 32.5
    Iowa 28.4 New York 23.9 Wisconsin 26.3
    Kansas 29.4 North Carolina 27.8 Wyoming 25.1

    Table 2.70

    Construct a bar graph of obesity rates of your state and the four states closest to your state. Hint: Label the x-axis with the states.

    2.2 Measures of the Location of the Data

    91.

    The median age for U.S. blacks currently is 30.9 years; for U.S. whites it is 42.3 years.

    1. Based upon this information, give two reasons why the black median age could be lower than the white median age.
    2. Does the lower median age for blacks necessarily mean that blacks die younger than whites? Why or why not?
    3. 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?
    92.

    Six hundred adult Americans were asked by telephone poll, "What do you think constitutes a middle-class income?" The results are in Table 2.71. Also, include left endpoint, but not the right endpoint.

    Salary ($) Relative frequency
    < 20,000 0.02
    20,000–25,000 0.09
    25,000–30,000 0.19
    30,000–40,000 0.26
    40,000–50,000 0.18
    50,000–75,000 0.17
    75,000–99,999 0.02
    100,000+ 0.01

    Table 2.71

    1. What percentage of the survey answered "not sure"?
    2. What percentage think that middle-class is from $25,000 to $50,000?
    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 <20,000 and the 100,000+ intervals be handled? Why?
    4. Find the 40th and 80th percentiles
    5. Construct a bar graph of the data

    2.3 Measures of the Center of the Data

    93.

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

    Percent of population obese Number of countries
    11.4–20.45 29
    20.45–29.45 13
    29.45–38.45 4
    38.45–47.45 0
    47.45–56.45 2
    56.45–65.45 1
    65.45–74.45 0
    74.45–83.45 1

    Table 2.72

    1. What is the best estimate of the average obesity percentage for these countries?
    2. The United States has an average obesity rate of 33.9%. Is this rate above average or below?
    3. How does the United States compare to other countries?
    94.

    Table 2.73 gives the percent of children under five considered to be underweight. What is the best estimate for the mean percentage of underweight children?

    Percent of underweight children Number of countries
    16–21.45 23
    21.45–26.9 4
    26.9–32.35 9
    32.35–37.8 7
    37.8–43.25 6
    43.25–48.7 1

    Table 2.73

    2.4 Sigma Notation and Calculating the Arithmetic Mean

    95.

    A sample of 10 prices is chosen from a population of 100 similar items. The values obtained from the sample, and the values for the population, are given in Table 2.74 and Table 2.75 respectively.

    1. Is the mean of the sample within $1 of the population mean?
    2. What is the difference in the sample and population means?
    Prices of the sample
    $21
    $23
    $21
    $24
    $22
    $22
    $25
    $21
    $20
    $24

    Table 2.74

    Prices of the population Frequency
    $20 20
    $21 35
    $22 15
    $23 10
    $24 18
    $25 2

    Table 2.75

    96.

    A standardized test is given to ten people at the beginning of the school year with the results given in Table 2.76 below. At the end of the year the same people were again tested.

    1. What is the average improvement?
    2. Does it matter if the means are subtracted, or if the individual values are subtracted?
    Student Beginning score Ending score
    1 1100 1120
    2 980 1030
    3 1200 1208
    4 998 1000
    5 893 948
    6 1015 1030
    7 1217 1224
    8 1232 1245
    9 967 988
    10 988 997

    Table 2.76

    97.

    A small class of 7 students has a mean grade of 82 on a test. If six of the grades are 80, 82,86, 90, 90, and 95, what is the other grade?

    98.

    A class of 20 students has a mean grade of 80 on a test. Nineteen of the students has a mean grade between 79 and 82, inclusive.

    1. What is the lowest possible grade of the other student?
    2. What is the highest possible grade of the other student?
    99.

    If the mean of 20 prices is $10.39, and 5 of the items with a mean of $10.99 are sampled, what is the mean of the other 15 prices?

    2.5 Geometric Mean

    100.

    An investment grows from $10,000 to $22,000 in five years. What is the average rate of return?

    101.

    An initial investment of $20,000 grows at a rate of 9% for five years. What is its final value?

    102.

    A culture contains 1,300 bacteria. The bacteria grow to 2,000 in 10 hours. What is the rate at which the bacteria grow per hour to the nearest tenth of a percent?

    103.

    An investment of $3,000 grows at a rate of 5% for one year, then at a rate of 8% for three years. What is the average rate of return to the nearest hundredth of a percent?

    104.

    An investment of $10,000 goes down to $9,500 in four years. What is the average return per year to the nearest hundredth of a percent?

    2.6 Skewness and the Mean, Median, and Mode

    105.

    The median age of the U.S. population in 1980 was 30.0 years. In 1991, the median age was 33.1 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?

    2.7 Measures of the Spread of the Data

    Use the following information to answer the next nine exercises: 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.

    • \(\mu = 1000\) FTES
    • \(\text{median }= 1,014\) FTES
    • \(\sigma = 474\) FTES
    • \(\text{first quartile }= 528.5\) FTES
    • \(\text{third quartile }= 1,447.5\) FTES
    • \(n = 29\) years
    106.

    A sample of 11 years is taken. About how many are expected to have a FTES of 1014 or above? Explain how you determined your answer.

    107.

    75% of all years have an FTES:

    1. at or below: _____
    2. at or above: _____
    108.

    The population standard deviation = _____

    109.

    What percent of the FTES were from 528.5 to 1447.5? How do you know?

    110.

    What is the \(IQR\)? What does the \(IQR\) represent?

    111.

    How many standard deviations away from the mean is the median?

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

    Year 2005–06 2006–07 2007–08 2008–09 2009–10 2010–11
    Total FTES 1,585 1,690 1,735 1,935 2,021 1,890

    Table 2.77

    112.

    Calculate the mean, median, standard deviation, the first quartile, the third quartile and the \(IQR\). Round to one decimal place.

    113.

    Compare the \(IQR\) for the FTES for 1976–77 through 2004–2005 with the \(IQR\) for the FTES for 2005-2006 through 2010–2011. Why do you suppose the \(IQR\)s are so different?

    114.

    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.

    Student GPA School Average GPA School Standard Deviation
    Thuy 2.7 3.2 0.8
    Vichet 87 75 20
    Kamala 8.6 8 0.4

    Table2.78

    115.

    A music school has budgeted to purchase three musical instruments. They plan to purchase a piano costing $3,000, a guitar costing $550, and a drum set costing $600. The mean cost for a piano is $4,000 with a standard deviation of $2,500. The mean cost for a guitar is $500 with a standard deviation of $200. The mean cost for drums is $700 with a standard deviation of $100. 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.

    116.

    An elementary school class ran one mile with a mean of 11 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 1 mile in 8.5 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.
    117.

    The most obese countries in the world have obesity rates that range from 11.4% to 74.6%. This data is summarized in Table 2.79.

    Percent of population obese Number of countries
    11.4–20.45 29
    20.45–29.45 13
    29.45–38.45 4
    38.45–47.45 0
    47.45–56.45 2
    56.45–65.45 1
    65.45–74.45 0
    74.45–83.45 1

    Table 2.79

    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.

    118.

    Table 2.80 gives the percent of children under five considered to be underweight.

    Percent of underweight children Number of countries
    16–21.45 23
    21.45–26.9 4
    26.9–32.35 9
    32.35–37.8 7
    37.8–43.25 6
    43.25–48.7 1

    Table 2.80

    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.