A disadvantage of running multiple t-tests in the comparison of several population slopes is: a. the probability of incorrectly rejecting at least one of the hypotheses increases as the number of t-tests increases. b. the significance level may have to be set as high as 0.10 for valid testing. c. sample sizes may have to be very large. d. the null hypothesis may be rejected for any of the t-tests, so a large amount of work was done with nothing gained. e. All of the above.

A disadvantage of running multiple t-tests in the comparison of several population slopes is: a. the probability of incorrectly rejecting at least one of the hypotheses increases as the number of t-tests increases. b. the significance level may have to be set as high as 0.10 for valid testing. c. sample sizes may have to be very large. d. the null hypothesis may be rejected for any of the t-tests, so a large amount of work was done with nothing gained. e. All of the above.

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter8: Sequences, Series, And Probability

Section8.7: Probability

Problem 58E: What is meant by the sample space of an experiment?

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Question

A disadvantage of running multiple t-tests in the comparison of several population slopes is:

	a.	the probability of incorrectly rejecting at least one of the hypotheses increases as the number of t-tests increases.
	b.	the significance level may have to be set as high as 0.10 for valid testing.
	c.	sample sizes may have to be very large.
	d.	the null hypothesis may be rejected for any of the t-tests, so a large amount of work was done with nothing gained.
	e.	All of the above.