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Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card | 8th Edition | ISBN: 9781464158933 | Authors: David S. Moore, George P. McCabe, Bruce A. Craig
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Answer: Whats wrong? For each of the following, explain

Chapter , Problem 12.1

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QUESTION:

Whats wrong? For each of the following, explain what is wrong and why. (a) ANOVA tests the null hypothesis that the sample means are all equal. (b) A strong case for causation is best made in an observational study. (c) You use ANOVA to compare the variances of the populations. (d) A multiple-comparisons procedure is used to compare a relation among means that was specified prior to looking at the data.

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QUESTION:

Whats wrong? For each of the following, explain what is wrong and why. (a) ANOVA tests the null hypothesis that the sample means are all equal. (b) A strong case for causation is best made in an observational study. (c) You use ANOVA to compare the variances of the populations. (d) A multiple-comparisons procedure is used to compare a relation among means that was specified prior to looking at the data.

ANSWER:

Problem 12.1

What's wrong? For each of the following, explain what is wrong and why.

(a) ANOVA tests the null hypothesis that the sample means are all equal.

(b) A strong case for causation is best made in an observational study.

(c) You use ANOVA to compare the variances of the populations.

(d) A multiple-comparisons procedure is used to compare a relation among means that was specified prior to looking at the data.

                                                           Step by Step Solution

Step 1 of 4

(a)

The hypotheses of interest in an ANOVA are as follows:

So, the null hypothesis of the ANOVA test says that the population means are all equal.

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