Exam 11: Multifactor Analysis of Variance
Exam 1: Overview and Descriptive Statistics15 Questions
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Exam 3: Discrete Random Variables and Probability Distributions22 Questions
Exam 4: Continuous Random Variables and Probability Distributions17 Questions
Exam 5: Joint Probability Distributions and Random Samples19 Questions
Exam 6: Point Estimation28 Questions
Exam 7: Statistical Intervals Based on a Single Sample59 Questions
Exam 8: Tests of Hypotheses Based on a Single Sample92 Questions
Exam 9: Inferences Based on Two Samples73 Questions
Exam 10: The Analysis of Variance43 Questions
Exam 11: Multifactor Analysis of Variance62 Questions
Exam 12: Simple Linear Regression and Correlation106 Questions
Exam 13: Nonlinear and Multiple Regression77 Questions
Exam 14: Goodness-Of-Fit Tests and Categorical Data Analysis40 Questions
Exam 15: Distribution-Free Procedures66 Questions
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In the fixed effects model with interaction, assume that there are 4 levels of factor A, 3 levels of factor B, and 3 observations for each of the 12 combinations of levels of the two factors. Then, the number of degrees of freedom for the error sum of squares (SSE) is
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In an experiment to see whether the amount of coverage of light-blue interior paint depends either on the brand of paint or on the brand of roller used, 1 gallon of each of four brands of paint was applied using each of three brands of roller, resulting in the following data (number of square feet covered). Roller Brand Paint Brand 404 396 401 396 394 397 389 392 394 394 387 393
a. Construct the ANOVA table.
b. State and test hypotheses appropriate for deciding whether paint has any effect on coverage. Use
c. Repeat part (b) for brand of roller.
d. Use Tukey's method to identify significant differences among brands. Is there one brand that seems clearly preferable to the others?
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