Exam 11: Analysis of Variance
Exam 1: Introduction and Data Collection137 Questions
Exam 2: Presenting Data in Tables and Charts181 Questions
Exam 3: Numerical Descriptive Measures138 Questions
Exam 4: Basic Probability152 Questions
Exam 5: Some Important Discrete Probability Distributions174 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions180 Questions
Exam 7: Sampling Distributions and Sampling180 Questions
Exam 8: Confidence Interval Estimation185 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests180 Questions
Exam 10: Two-Sample Tests184 Questions
Exam 11: Analysis of Variance179 Questions
Exam 12: Chi-Square Tests and Nonparametric Tests206 Questions
Exam 13: Simple Linear Regression196 Questions
Exam 14: Introduction to Multiple Regression258 Questions
Exam 15: Multiple Regression Model Building88 Questions
Exam 16: Time-Series Forecasting and Index Numbers193 Questions
Exam 17: Decision Making127 Questions
Exam 18: Statistical Applications in Quality Management113 Questions
Exam 19: Statistical Analysis Scenarios and Distributions82 Questions
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TABLE 11-8
A hotel chain has identically sized resorts in 5 locations. The data that follow resulted from analyzing the hotel occupancies on randomly selected days in the 5 locations.
1 28 40 21 37 22 2 33 35 21 47 19 3 41 33 27 45 25
Analysis of Variance Source df sS MS F p Location 4 963.6 11.47 0.001 Error 10 210.0 Total
-Referring to Table 11-8, if a level of significance of 0.05 is chosen, the null hypothesis should be rejected.
(True/False)
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TABLE 11-3
A realtor wants to compare the average sales-to-appraisal ratios of residential properties sold in four neighborhoods (A, B, C, and D). Four properties are randomly selected from each neighborhood and the ratios recorded for each, as shown below.
A:
B: D:
Interpret the results of the analysis summarized in the following table:
Source df SS MS F PR>F Neighborhoods 3.1819 1.0606 10.76 0.001 Error 12 Total 4.3644
-Referring to Table 11-3, the within group mean squares is
(Multiple Choice)
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TABLE 11-6
As part of an evaluation program, a sporting goods retailer wanted to compare the downhill coasting speeds of 4 brands of bicycles. She took 3 of each brand and determined their maximum downhill speeds. The results are presented in miles per hour in the table below.
Trial Barth Tornado Reiser Shaw 1 43 37 41 43 2 46 38 45 45 3 43 39 42 46
-Referring to Table 11-6, based on the Tukey-Kramer procedure with an overall level of significance of 0.05, the retailer would decide that there is no significant difference between any pair of mean speeds.
(True/False)
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TABLE 11-6
As part of an evaluation program, a sporting goods retailer wanted to compare the downhill coasting speeds of 4 brands of bicycles. She took 3 of each brand and determined their maximum downhill speeds. The results are presented in miles per hour in the table below.
Trial Barth Tornado Reiser Shaw 1 43 37 41 43 2 46 38 45 45 3 43 39 42 46
-Referring to Table 11-6, in testing the null hypothesis that the average downhill coasting speeds of the 4 brands of bicycles are equal, the value of the test statistic is _______.
(Short Answer)
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TABLE 11-6
As part of an evaluation program, a sporting goods retailer wanted to compare the downhill coasting speeds of 4 brands of bicycles. She took 3 of each brand and determined their maximum downhill speeds. The results are presented in miles per hour in the table below.
Trial Barth Tornado Reiser Shaw 1 43 37 41 43 2 46 38 45 45 3 43 39 42 46
-Referring to Table 11-10, the relative efficiency means that 2.47 times as many observations in each variety group would be needed in a one-way ANOVA design as compared to the randomized block design in order to obtain the same precision for comparison of the variety means.
(True/False)
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TABLE 11-8
A hotel chain has identically sized resorts in 5 locations. The data that follow resulted from analyzing the hotel occupancies on randomly selected days in the 5 locations.
1 28 40 21 37 22 2 33 35 21 47 19 3 41 33 27 45 25
Analysis of Variance
Source df sS MS F p Location 4 963.6 11.47 0.001 Error 10 210.0 Total
-Referring to Table 11-11, what is the critical value for testing the block effects at a 0.01 level of significance?
(Short Answer)
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Which of the following components in an ANOVA table are not additive?
(Multiple Choice)
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TABLE 11-7
An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds. She plants 15 fields, 5 with each variety. She then measures the crop yield in bushels per acre. Treating this as a completely randomized design, the results are presented in the table that follows.
Trial Smith Walsh Trevor 1 11.1 19.0 14.6 2 13.5 18.0 15.7 3 15.3 19.8 16.8 4 14.6 19.6 16.7 5 9.8 16.6 15.2
-Referring to Table 11-7, the test is valid only if the population of crop yields is normally distributed for the 3 varieties.
(True/False)
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TABLE 11-6
As part of an evaluation program, a sporting goods retailer wanted to compare the downhill coasting speeds of 4 brands of bicycles. She took 3 of each brand and determined their maximum downhill speeds. The results are presented in miles per hour in the table below.
Trial Barth Tornado Reiser Shaw 1 43 37 41 43 2 46 38 45 45 3 43 39 42 46
-Referring to Table 11-6, what should be the conclusion for the Levene's test for homogeneity of variances at a 5% level of significance?
(Multiple Choice)
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TABLE 11-3
A realtor wants to compare the average sales-to-appraisal ratios of residential properties sold in four neighborhoods (A, B, C, and D). Four properties are randomly selected from each neighborhood and the ratios recorded for each, as shown below.
A:
B: D:
Interpret the results of the analysis summarized in the following table:
Source df SS MS F PR>F Neighborhoods 3.1819 1.0606 10.76 0.001 Error 12 Total 4.3644
-Referring to Table 11-3, the critical value of Levene's test for homogeneity of variances at a 5% level of significance is
(Multiple Choice)
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TABLE 11-10
An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds. She plants all 3 varieties of the seeds on each of 5 different patches of fields. She then measures the crop yield in bushels per acre. Treating this as a randomized block design, the results are presented in the table that follows.
Fields Smith Walsh Trevor 1 11.1 19.0 14.6 2 13.5 18.0 15.7 3 15.3 19.8 16.8 4 14.6 19.6 16.7 5 9.8 16.6 15.2
-Referring to Table 11-10, what is the p-value of the test statistic for the randomized block F test for the difference in the means?
(Short Answer)
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TABLE 11-10
An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds. She plants all 3 varieties of the seeds on each of 5 different patches of fields. She then measures the crop yield in bushels per acre. Treating this as a randomized block design, the results are presented in the table that follows.
1 11.1 19.0 14.6 2 13.5 18.0 15.7 3 15.3 19.8 16.8 4 14.6 19.6 16.7 5 9.8 16.6 15.2
-Referring to Table 11-10, what is the p-value of the F test statistic for testing the block effects?
(Short Answer)
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TABLE 11-10
An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds. She plants all 3 varieties of the seeds on each of 5 different patches of fields. She then measures the crop yield in bushels per acre. Treating this as a randomized block design, the results are presented in the table that follows.
Fields Smith Walsh Trevor 1 11.1 19.0 14.6 2 13.5 18.0 15.7 3 15.3 19.8 16.8 4 14.6 19.6 16.7 5 9.8 16.6 15.2
-Referring to Table 11-10, what is the value of the test statistic for the randomized block F test for the difference in the means?
(Short Answer)
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In a two-way ANOVA, it is easier to interpret main effects when the interaction component is not significant.
(True/False)
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TABLE 11-4
A campus researcher wanted to investigate the factors that affect visitor travel time in a complex, multilevel building on campus. Specifically, he wanted to determine whether different building signs (building maps versus wall signage) affect the total amount of time visitors require to reach their destination and whether that time depends on whether the starting location is inside or outside the building. Three subjects were assigned to each of the combinations of signs and starting locations, and travel time in seconds from beginning to destination was recorded. An Excel output of the appropriate analysis is given below:
-Referring to Table 11-4, the F test statistic for testing the interaction effect between the types of signs and the starting location is
(Multiple Choice)
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TABLE 11-11
A student team in a business statistics course designed an experiment to investigate whether the brand of bubblegum used affected the size of bubbles they could blow. To reduce the person-to-person variability, the students decided to use a randomized block design using themselves as blocks. Four brands of bubblegum were tested. A student chewed two pieces of a brand of gum and then blew a bubble, attempting to make it as big as possible. Another student measured the diameter of the bubble at its biggest point. The following table gives the diameters of the bubbles (in inches) for the 16 observations.
Brand of Bubblegum Student A B C D Kyle 8.75 9.50 8.50 11.50 Sarah 9.50 4.00 8.50 11.00 Leigh 9.25 5.50 7.50 7.50 Isaac 9.50 8.50 7.50 7.50
-Referring to Table 11-6, what is the critical value of Levene's test for homogeneity of variances at a 5% level of significance?
(Short Answer)
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