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Chapter 9: Q37E (page 552)
Define a comparison-wise error rate.
The probability of a Type I error set by the experimenter for evaluating each comparison is called the comparison-wise error rate.
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Refer to Exercises 9.17 and 9.18. Complete the following ANOVA table for each of the two dot plots:
Define an experiment-wise error rate.
Why does the experiment wise error rate of a multiplecomparisons procedure differ from the significance level for each comparison (assuming the experiment has more than two treatments)?
Study of mutual fund performance. Mutual funds are classified as large-cap funds, medium-cap funds, or small-cap funds, depending on the capitalization of the companies in the fund. Hawaii Pacific University researchers investigated whether the average performance of a mutual fund is related to capitalization size (American Business Review, January 2002). Independent random samples of 30 mutual funds were selected from each of the three fund groups, and the 90-day rate of return was determined for each fund. The data for the 90 funds were subjected to an analysis of variance, with the results shown in the ANOVA summary table below.
a. State the null and alternative hypotheses for the ANOVA.
What are the treatments for a designed experiment that uses one qualitative factor with four levels—A, B, C, and D?
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