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
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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.
Expert Solution
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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