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9.7: Chapter 9 Homework

  • Page ID
    50630
  • 9.1 Test of Two Variances

    55.

    Three students, Linda, Tuan, and Javier, are given five laboratory rats each for a nutritional experiment. Each rat’s weight is recorded in grams. Linda feeds her rats Formula A, Tuan feeds his rats Formula B, and Javier feeds his rats Formula C. At the end of a specified time period, each rat is weighed again and the net gain in grams is recorded.

    Linda's rats Tuan's rats Javier's rats
    43.5 47.0 51.2
    39.4 40.5 40.9
    41.3 38.9 37.9
    46.0 46.3 45.0
    38.2 44.2 48.6

    Table 9.18

    Determine whether or not the variance in weight gain is statistically the same among Javier’s and Linda’s rats. Test at a significance level of 10%.

    56.

    A grassroots group opposed to a proposed increase in the gas tax claimed that the increase would hurt working-class people the most, since they commute the farthest to work. Suppose that the group randomly surveyed 24 individuals and asked them their daily one-way commuting mileage. The results are as follows.

    Working-class Professional (middle incomes) Professional (wealthy)
    17.8 16.5 8.5
    26.7 17.4 6.3
    49.4 22.0 4.6
    9.4 7.4 12.6
    65.4 9.4 11.0
    47.1 2.1 28.6
    19.5 6.4 15.4
    51.2 13.9 9.3

    Table 9.19

    Determine whether or not the variance in mileage driven is statistically the same among the working class and professional (middle income) groups. Use a 5% significance level.

    Use the following information to answer the next two exercises. The following table lists the number of pages in four different types of magazines.

    Home decorating News Health Computer
    172 87 82 104
    286 94 153 136
    163 123 87 98
    205 106 103 207
    197 101 96 146

    Table 9.20

    57.

    Which two magazine types do you think have the same variance in length?

    58.

    Which two magazine types do you think have different variances in length?

    59.

    Is the variance for the amount of money, in dollars, that shoppers spend on Saturdays at the mall the same as the variance for the amount of money that shoppers spend on Sundays at the mall? Suppose that the Table 9.21 shows the results of a study.

    Saturday Sunday Saturday Sunday
    75 44 62 137
    18 58 0 82
    150 61 124 39
    94 19 50 127
    62 99 31 141
    73 60 118 73
      89    

    Table 9.21

    60.

    Are the variances for incomes on the East Coast and the West Coast the same? Suppose that Table 9.22 shows the results of a study. Income is shown in thousands of dollars. Assume that both distributions are normal. Use a level of significance of 0.05.

    East West
    38 71
    47 126
    30 42
    82 51
    75 44
    52 90
    115 88
    67  

    Table 9.22

    61.

    Thirty men in college were taught a method of finger tapping. They were randomly assigned to three groups of ten, with each receiving one of three doses of caffeine: 0 mg, 100 mg, 200 mg. This is approximately the amount in no, one, or two cups of coffee. Two hours after ingesting the caffeine, the men had the rate of finger tapping per minute recorded. The experiment was double blind, so neither the recorders nor the students knew which group they were in. Does caffeine affect the rate of tapping, and if so how?

    Here are the data:

    0 mg 100 mg 200 mg 0 mg 100 mg 200 mg
    242 248 246 245 246 248
    244 245 250 248 247 252
    247 248 248 248 250 250
    242 247 246 244 246 248
    246 243 245 242 244 250

    Table 9.23

    62.

    King Manuel I, Komnenus ruled the Byzantine Empire from Constantinople (Istanbul) during the years 1145 to 1180 A.D. The empire was very powerful during his reign, but declined significantly afterwards. Coins minted during his era were found in Cyprus, an island in the eastern Mediterranean Sea. Nine coins were from his first coinage, seven from the second, four from the third, and seven from a fourth. These spanned most of his reign. We have data on the silver content of the coins:

    First coinage Second coinage Third coinage Fourth coinage
    5.9 6.9 4.9 5.3
    6.8 9.0 5.5 5.6
    6.4 6.6 4.6 5.5
    7.0 8.1 4.5 5.1
    6.6 9.3   6.2
    7.7 9.2   5.8
    7.2 8.6   5.8
    6.9      
    6.2      

    Table 9.24

    Did the silver content of the coins change over the course of Manuel’s reign?

    Here are the means and variances of each coinage. The data are unbalanced.

      First Second Third Fourth
    Mean 6.7444 8.2429 4.875 5.6143
    Variance 0.2953 1.2095 0.2025 0.1314

    Table 9.25

    63.

    The American League and the National League of Major League Baseball are each divided into three divisions: East, Central, and West. Many years, fans talk about some divisions being stronger (having better teams) than other divisions. This may have consequences for the postseason. For instance, in 2012 Tampa Bay won 90 games and did not play in the postseason, while Detroit won only 88 and did play in the postseason. This may have been an oddity, but is there good evidence that in the 2012 season, the American League divisions were significantly different in overall records? Use the following data to test whether the mean number of wins per team in the three American League divisions were the same or not. Note that the data are not balanced, as two divisions had five teams, while one had only four.

    Division Team Wins
    East NY Yankees 95
    East Baltimore 93
    East Tampa Bay 90
    East Toronto 73
    East Boston 69

    Table 9.26

    Division Team Wins
    Central Detroit 88
    Central Chicago Sox 85
    Central Kansas City 72
    Central Cleveland 68
    Central Minnesota 66

    Table 9.27

    Division Team Wins
    West Oakland 94
    West Texas 93
    West LA Angels 89
    West Seattle 75

    Table 9.28

    9.2 One-Way ANOVA

    64.

    Three different traffic routes are tested for mean driving time. The entries in the Table 9.29 are the driving times in minutes on the three different routes.

    Route 1 Route 2 Route 3
    30 27 16
    32 29 41
    27 28 22
    35 36 31

    Table 9.29

    State \(SS_{between}\), \(SS_{within}\), and the \(F\) statistic.

    65.

    Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the same average age across the country. Suppose that the following data are randomly collected from five teenagers in each region of the country. The numbers represent the age at which teenagers obtained their drivers licenses.

      Northeast South West Central East
      16.3 16.9 16.4 16.2 17.1
      16.1 16.5 16.5 16.6 17.2
      16.4 16.4 16.6 16.5 16.6
      16.5 16.2 16.1 16.4 16.8
    \(\overline x\)= ________ ________ ________ ________ ________
    \(s^2=\) ________ ________ ________ ________ ________

    Table 9.30

    State the hypotheses.

    \(H_0\): ____________

    \(H_a\): ____________

    9.3 The F Distribution and the F-Ratio

    Use the following information to answer the next three exercises. Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the same average age across the country. Suppose that the following data are randomly collected from five teenagers in each region of the country. The numbers represent the age at which teenagers obtained their drivers licenses.

      Northeast South West Central East
      16.3 16.9 16.4 16.2 17.1
      16.1 16.5 16.5 16.6 17.2
      16.4 16.4 16.6 16.5 16.6
      16.5 16.2 16.1 16.4 16.8
    \(\overline x\)= ________ ________ ________ ________ ________
    \(s^2=\) ________ ________ ________ ________ ________

    Table 9.31

    \(H_{0} : \mu_{1}=\mu_{2}=\mu_{3}=\mu_{4}=\mu_{5}\)

    \(H_a\): At least any two of the group means \(\mu_{1}=\mu_{2}=\mu_{3}=\mu_{4}=\mu_{5}\) are not equal.

    66.

    degrees of freedom – numerator: \(df(num)\) = _________

    67.

    degrees of freedom – denominator: \(df(denom)\) = ________

    68.

    \(F\) statistic = ________

    9.4 Facts About the F Distribution

    69.

    Three students, Linda, Tuan, and Javier, are given five laboratory rats each for a nutritional experiment. Each rat's weight is recorded in grams. Linda feeds her rats Formula A, Tuan feeds his rats Formula B, and Javier feeds his rats Formula C. At the end of a specified time period, each rat is weighed again, and the net gain in grams is recorded. Using a significance level of 10%, test the hypothesis that the three formulas produce the same mean weight gain.

    Linda's rats Tuan's rats Javier's rats
    43.5 47.0 51.2
    39.4 40.5 40.9
    41.3 38.9 37.9
    46.0 46.3 45.0
    38.2 44.2 48.6

    Table 9.32 Weights of Student Lab Rats

    70.

    A grassroots group opposed to a proposed increase in the gas tax claimed that the increase would hurt working-class people the most, since they commute the farthest to work. Suppose that the group randomly surveyed 24 individuals and asked them their daily one-way commuting mileage. The results are in Table 9.33. Using a 5% significance level, test the hypothesis that the three mean commuting mileages are the same.

    Working-class Professional (middle incomes) Professional (wealthy)
    17.8 16.5 8.5
    26.7 17.4 6.3
    49.4 22.0 4.6
    9.4 7.4 12.6
    65.4 9.4 11.0
    47.1 2.1 28.6
    19.5 6.4 15.4
    51.2 13.9 9.3

    Table 9.33

    Use the following information to answer the next two exercises. Table 9.34 lists the number of pages in four different types of magazines.

    Home decorating News Health Computer
    172 87 82 104
    286 94 153 136
    163 123 87 98
    205 106 103 207
    197 101 96 146

    Table 9.34

    71.

    Using a significance level of 5%, test the hypothesis that the four magazine types have the same mean length.

    72.

    Eliminate one magazine type that you now feel has a mean length different from the others. Redo the hypothesis test, testing that the remaining three means are statistically the same. Use a new solution sheet. Based on this test, are the mean lengths for the remaining three magazines statistically the same?

    73.

    A researcher wants to know if the mean times (in minutes) that people watch their favorite news station are the same. Suppose that Table 9.35 shows the results of a study.

    CNN FOX Local
    45 15 72
    12 43 37
    18 68 56
    38 50 60
    23 31 51
    35 22  

    Table 9.35

    Assume that all distributions are normal, the four population standard deviations are approximately the same, and the data were collected independently and randomly. Use a level of significance of 0.05.

    74.

    Are the means for the final exams the same for all statistics class delivery types? Table 9.36 shows the scores on final exams from several randomly selected classes that used the different delivery types.

    Online Hybrid Face-to-Face
    72 83 80
    84 73 78
    77 84 84
    80 81 81
    81   86
        79
        82

    Table 9.36

    Assume that all distributions are normal, the four population standard deviations are approximately the same, and the data were collected independently and randomly. Use a level of significance of 0.05.

    75.

    Are the mean number of times a month a person eats out the same for whites, blacks, Hispanics and Asians? Suppose that Table 9.37 shows the results of a study.

    White Black Hispanic Asian
    6 4 7 8
    8 1 3 3
    2 5 5 5
    4 2 4 1
    6   6 7

    Table 9.37

    Assume that all distributions are normal, the four population standard deviations are approximately the same, and the data were collected independently and randomly. Use a level of significance of 0.05.

    76.

    Are the mean numbers of daily visitors to a ski resort the same for the three types of snow conditions? Suppose that Table 9.38 shows the results of a study.

    Powder Machine Made Hard Packed
    1,210 2,107 2,846
    1,080 1,149 1,638
    1,537 862 2,019
    941 1,870 1,178
      1,528 2,233
      1,382  

    Table 9.38

    Assume that all distributions are normal, the four population standard deviations are approximately the same, and the data were collected independently and randomly. Use a level of significance of 0.05.

    77.

    Sanjay made identical paper airplanes out of three different weights of paper, light, medium and heavy. He made four airplanes from each of the weights, and launched them himself across the room. Here are the distances (in meters) that his planes flew.

    Paper type/Trial Trial 1 Trial 2 Trial 3 Trial 4
    Heavy 5.1 meters 3.1 meters 4.7 meters 5.3 meters
    Medium 4 meters 3.5 meters 4.5 meters 6.1 meters
    Light 3.1 meters 3.3 meters 2.1 meters 1.9 meters

    Table 9.39

    the graph is a scatter plot which represents the data provided. The horizontal axis is labeled 'Distance in Meters,' and extends form 2 to 6. The vertical axis is labeled 'Weight of Paper' and has light, medium, and heavy categories.

    Figure 9.8

    1. Take a look at the data in the graph. Look at the spread of data for each group (light, medium, heavy). Does it seem reasonable to assume a normal distribution with the same variance for each group? Yes or No.
    2. Why is this a balanced design?
    3. Calculate the sample mean and sample standard deviation for each group.
    4. Does the weight of the paper have an effect on how far the plane will travel? Use a 1% level of significance. Complete the test using the method shown in the bean plant example in Figure 9.8.
      • variance of the group means __________
      • \(MS_{between}\)= ___________
      • mean of the three sample variances ___________
      • \(MS_{within}\) = _____________
      • \(F\) statistic = ____________
      • \(df(num)\) = __________, \(df(denom)\) = ___________
      • number of groups _______
      • number of observations _______
      • \(p\)-value = __________ (\(P(F > \)_______) = __________)
      • Graph the \(p\)-value.
      • decision: _______________________
      • conclusion: _______________________________________________________________

    78.

    DDT is a pesticide that has been banned from use in the United States and most other areas of the world. It is quite effective, but persisted in the environment and over time became seen as harmful to higher-level organisms. Famously, egg shells of eagles and other raptors were believed to be thinner and prone to breakage in the nest because of ingestion of DDT in the food chain of the birds.

    An experiment was conducted on the number of eggs (fecundity) laid by female fruit flies. There are three groups of flies. One group was bred to be resistant to DDT (the RS group). Another was bred to be especially susceptible to DDT (SS). Finally there was a control line of non-selected or typical fruitflies (NS). Here are the data:

    RS SS NS RS SS NS
    12.8 38.4 35.4 22.4 23.1 22.6
    21.6 32.9 27.4 27.5 29.4 40.4
    14.8 48.5 19.3 20.3 16 34.4
    23.1 20.9 41.8 38.7 20.1 30.4
    34.6 11.6 20.3 26.4 23.3 14.9
    19.7 22.3 37.6 23.7 22.9 51.8
    22.6 30.2 36.9 26.1 22.5 33.8
    29.6 33.4 37.3 29.5 15.1 37.9
    16.4 26.7 28.2 38.6 31 29.5
    20.3 39 23.4 44.4 16.9 42.4
    29.3 12.8 33.7 23.2 16.1 36.6
    14.9 14.6 29.2 23.6 10.8 47.4
    27.3 12.2 41.7      

    Table 9.40

    The values are the average number of eggs laid daily for each of 75 flies (25 in each group) over the first 14 days of their lives. Using a 1% level of significance, are the mean rates of egg selection for the three strains of fruitfly different? If so, in what way? Specifically, the researchers were interested in whether or not the selectively bred strains were different from the non-selected line, and whether the two selected lines were different from each other.

    Here is a chart of the three groups:

    This graph is a scatterplot which represents the data provided. The horizontal axis is labeled 'Mean eggs laid per day' and extends from 10 - 50. The vertical axis is labeled 'Fruitflies DDT resistant or susceptible, or not selected.' The vertical axis is labeled with the categories NS, RS, SS.

    Figure 9.9

    79.

    The data shown is the recorded body temperatures of 130 subjects as estimated from available histograms.

    Traditionally we are taught that the normal human body temperature is 98.6 F. This is not quite correct for everyone. Are the mean temperatures among the four groups different?

    Calculate 95% confidence intervals for the mean body temperature in each group and comment about the confidence intervals.

    FL FH ML MH FL FH ML MH
    96.4 96.8 96.3 96.9 98.4 98.6 98.1 98.6
    96.7 97.7 96.7 97 98.7 98.6 98.1 98.6
    97.2 97.8 97.1 97.1 98.7 98.6 98.2 98.7
    97.2 97.9 97.2 97.1 98.7 98.7 98.2 98.8
    97.4 98 97.3 97.4 98.7 98.7 98.2 98.8
    97.6 98 97.4 97.5 98.8 98.8 98.2 98.8
    97.7 98 97.4 97.6 98.8 98.8 98.3 98.9
    97.8 98 97.4 97.7 98.8 98.8 98.4 99
    97.8 98.1 97.5 97.8 98.8 98.9 98.4 99
    97.9 98.3 97.6 97.9 99.2 99 98.5 99
    97.9 98.3 97.6 98 99.3 99 98.5 99.2
    98 98.3 97.8 98   99.1 98.6 99.5
    98.2 98.4 97.8 98   99.1 98.6  
    98.2 98.4 97.8 98.3   99.2 98.7  
    98.2 98.4 97.9 98.4   99.4 99.1  
    98.2 98.4 98 98.4   99.9 99.3  
    98.2 98.5 98 98.6   100 99.4  
    98.2 98.6 98 98.6   100.8    

    Table 9.41