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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Step 1: Description of two sample independent test:
The Independent-Samples T Test procedure compares means for two groups of cases.It determines whether there is a statistically significant difference between the means of two independent samples.
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