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When comparing more than two treatment means, why should you use an analysis of variance instead of using several t tests? Question 20 options: Using several t tests increases the risk of a Type I error. Using several t tests increases the risk of a Type II error. The analysis of variance is more likely to detect a treatment effect. There is no advantage to using an analysis of variance instead of several t tests.

When comparing more than two treatment means, why should you use an analysis of variance instead of using several t tests? Question 20 options: Using several t tests increases the risk of a Type I error. Using several t tests increases the risk of a Type II error. The analysis of variance is more likely to detect a treatment effect. There is no advantage to using an analysis of variance instead of several t tests.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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When comparing more than two treatment means, why should you use an analysis of variance instead of using several t tests? Question 20 options: Using several t tests increases the risk of a Type I error. Using several t tests increases the risk of a Type II error. The analysis of variance is more likely to detect a treatment effect. There is no advantage to using an analysis of variance instead of several t tests.
Transcribed Image Text:When comparing more than two treatment means, why should you use an analysis of variance instead of using several t tests? Question 20 options: Using several t tests increases the risk of a Type I error. Using several t tests increases the risk of a Type II error. The analysis of variance is more likely to detect a treatment effect. There is no advantage to using an analysis of variance instead of several t tests.
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