STAT151 Lecture Notes - Chi-Squared Distribution, Two Shot, Null Hypothesis

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STAT151 Full Course Notes
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We already know how to test whether two groups have equal means (ch 24) When we want to test whether more than 2 groups have equal means, we could compare each pair of groups with a t-test. However, we"d wind up increasing the probability of a type i error, since each test would bring with it its own . Fortunately, there is a test that generalizes the t-test to any number of treatment groups. For comparing several means, there is yet another sampling distribution model, called the f-model. Here, we introduce the tool, anova, for comparing the means of at least two populations. It will provide us with the opportunity to make general conclusions by finding an overall error probability . There are 2 possible conclusions: there are some differences among the means at a level of significant , there are no differences among the means at a level of significant .

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