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Explain how the ANOVA technique avoids the problem of the inflated probability of making Type I...

Explain how the ANOVA technique avoids the problem of the inflated probability of making Type I error that would arise using the alternative method of comparing groups two at a time using the t-test for independent groups.

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Answer #1

We know that when we use the t-test for independent groups, it only works for two independent groups. But ANOVA can be used to test for more than two independent groups. This means, when we use a t-test, we need to repeat the procedure many times. Since there is a type I error for each t-test, the probability of making Type I error from each t-test will arise. However, when we perform ANOVA, we only use the F test once. ANOVA is used to test the equality of means for different groups. That's how the ANOVA technique avoids the problem of the inflated probability of making Type I error that would arise using the alternative method of comparing groups two at a time using the t-test for independent groups.

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