Question

when comparing condition means in an experiment with more than two conditions, why should you use an analysis of variance instead of using several t tests? group of answer choices 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.

Answer 1

The we should use ANOVA instead of several t-tests to evaluate the differences in the mean of three or more groups.

What is t test?

A t- test is a measurable test that is utilized to look at the method for two gatherings. It is many times utilized in speculation testing to decide if a cycle or treatment really meaningfully affects the number of inhabitants in interest, or whether two gatherings are not quite the same as each other.

Explain ANOVA test:

The ANOVA test permits an examination of multiple gatherings simultaneously to decide if a relationship exists between them.

According to question:

We ought to utilize ANOVA rather than a few t-tests to assess the distinctions in the mean of at least three gatherings on the grounds that without fail, we direct a t-test (between two gatherings) there is some opportunity that a Kind I blunder is being made while doing the test.

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