8 min read
This study guide covers p-values and their role in hypothesis testing. It explains how to interpret p-values, distinguish between small and large p-values, and connect them to statistical significance. The guide also covers formulating null and alternative hypotheses, understanding significance levels (alpha), and avoiding common pitfalls in p-value interpretation. It includes examples, practice problems, and emphasizes applying these concepts in the context of AP Statistics exam preparation.
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Question 1 of 11
What does a p-value represent in hypothesis testing? ๐ค
The probability that the null hypothesis is true
The probability that the alternative hypothesis is true
The probability of observing a sample statistic as extreme as, or more extreme than, the one observed if the null hypothesis is true
The probability of making a Type I error