A critical value is a specific value that separates the rejection region from the non-rejection region in hypothesis testing. It is compared to the test statistic to determine whether to reject or fail to reject the null hypothesis.
Think of a bouncer at a club who has a specific height requirement for entry. If you're taller than the bouncer's height requirement (the critical value), you get into the club (reject the null hypothesis). If you're shorter, you don't get in (fail to reject the null hypothesis).
Test Statistic: A test statistic is a numerical value calculated from sample data that is used in hypothesis testing.
Rejection Region: The rejection region is an area on a distribution where, if the test statistic falls within it, we reject the null hypothesis.
Non-Rejection Region: The non-rejection region is an area on a distribution where, if the test statistic falls within it, we fail to reject the null hypothesis.
AP Statistics - 6.3 Justifying a Claim Based on a Confidence Interval for a Population Proportion
AP Statistics - 6.8 Confidence Intervals for the Difference of Two Proportions
AP Statistics - 7.2 Constructing a Confidence Interval for a Population Mean
AP Statistics - 7.3 Justifying a Claim About a Population Mean Based on a Confidence Interval
AP Statistics - 7.10 Skills Focus: Selecting, Implementing, and Communicating Inference Procedures
AP Statistics - 8.3 Carrying Out a Chi Square Goodness of Fit Test
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