By doing multiple t tests when there are more than 2 experimental groups we increase the risk of making what kind of mistake? A) accepting H₀ B) Type I error C) Type II error D) all of these

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By doing multiple t tests, we are increasing the probability of making a Type I error (rejecting a null hypothesis that is actually true). This is also known as the family-wise error rate, and it can be controlled through various methods such as adjusting the alpha level or using a Bonferroni correction. However, it is generally better to use a statistical analysis that is specifically designed for comparing multiple groups, such as ANOVA or a post-hoc test like Tukey's HSD.

By Doing Multiple T Tests When There Are More Than