Exam 12: Analysis of Variance
Exam 1: What Is Statistics79 Questions
Exam 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation129 Questions
Exam 3: Describing Data: Numerical Measures132 Questions
Exam 4: Describing Data: Displaying and Exploring Data108 Questions
Exam 5: A Survey of Probability Concepts130 Questions
Exam 6: Discrete Probability Distributions128 Questions
Exam 7: Continuous Probability Distributions131 Questions
Exam 8: Sampling Methods and the Central Limit Theorem115 Questions
Exam 9: Estimation and Confidence Intervals129 Questions
Exam 10: One-Sample Tests of Hypothesis134 Questions
Exam 11: Two-Sample Tests of Hypothesis130 Questions
Exam 12: Analysis of Variance128 Questions
Exam 13: Correlation and Linear Regression130 Questions
Exam 14: Multiple Regression Analysis129 Questions
Exam 15: Index Numbers129 Questions
Exam 16: Time Series and Forecasting129 Questions
Exam 17: Nonparametric Methods: Goodness-Of-Fit Tests129 Questions
Exam 18: Nonparametric Methods: Analysis of Ranked Data129 Questions
Exam 19: Statistical Process Control and Quality Management129 Questions
Exam 20: An Introduction to Decision Theory115 Questions
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What test statistic is used to compare two variances? ________________
(Short Answer)
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In a study of protein breakfast bars, five bars from each of three brands were tested to see if the mean amount of protein per bar differs among the brands. What is the F critical value for = 0.05? ______
(Short Answer)
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Interaction between two factors occurs when the effect of one factor on the response variable is the same for any value of another factor.
(True/False)
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When testing for differences between treatment means, a confidence interval is based on
(Multiple Choice)
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A random sample of 20 female executives from companies with assets over $1 million was selected and asked for their annual income and level of education. The ANOVA comparing the average income among three levels of education rejected the null hypothesis. The Mean Square Error (MSE) was 250. The following table summarized the results: 
(Essay)
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In a study of protein breakfast bars, five bars from each of three brands were tested to see if the mean amount of protein per bar differs among the brands. What is the calculated value of F, if the brand sum of squares is 0.07 and the error sum of squares is 0.09? ______
(Short Answer)
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How many mean square errors are summarized in a two-way ANOVA table? _________
(Short Answer)
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A bottle cap manufacturer with four machines and six operators wants to see if variation in production is due to the machines and/or the operators. The ANOVA table follows.
What are the degrees of freedom for the machines?
(Short Answer)
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Given the following Analysis of Variance table for three treatments each with six observations.
What is the computed value of F?
(Multiple Choice)
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The college of business was interested in comparing the attendance for three different class times for a business statistics class. The data follow.
What is the critical F statistic for testing the hypothesis of equal treatment means at the 0.05 significance level?
(Multiple Choice)
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If a confidence interval for the difference between a pair of treatment means includes 0, then we reject the null hypothesis that there is no difference in the pair of treatment means.
(True/False)
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A random sample of 16 companies was selected and asked for their annual dividend rate in three different industries: utilities, banking, and insurance. The ANOVA comparing the mean annual dividend rate among three industries rejected the null hypothesis. The Mean Square Error (MSE) was 3.36. The following table summarized the results:
Based on the comparison between the mean annual dividend rate for companies in the utilities and insurance industries,
(Multiple Choice)
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The college of business was interested in comparing the interaction of Academic status and class time on class attendance. Three different classes were sampled for each cell in the table. The means for each cell follow.
What are the interaction degrees of freedom?
(Multiple Choice)
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A bottle cap manufacturer with four machines and six operators wants to see if variation in production is due to the machines and/or the operators. ANOVA table follows. 
(Essay)
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A manufacturer of automobile transmissions uses three different processes. Management ordered a study of the production costs to see if there is a difference among the three processes. A summary of the findings is shown below.
What are the total degrees of freedom?
(Multiple Choice)
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A random sample of 30 executives from companies with assets over $1 million was selected and asked for their annual income and level of education. The ANOVA comparing the average income among three levels of education rejected the null hypothesis. The Mean Square Error (MSE) was 243.7. The following table summarized the results:
When comparing the mean annual incomes for executives with a High School education or less and Undergraduate Degree, the 95% confidence interval shows an interval of 11.7 to 42.7 for the difference. This result indicates that
(Multiple Choice)
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