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A rejection region, also called a critical region, is an area where the null hypothesis is rejected. If the test results are significant enough to throw out the null hypothesis, they will fall into this rejection area. The primary purpose of statistics is to test theories or experimental results.
15 kwi 2024 · Do you want to understand hypothesis testing? Learn more on significance level, rejection region and how to perform a z-test. Start learning today!
Learn about the rejection region, the range of values of a sample statistic that leads to rejecting the null hypothesis, in various statistical methods and applications. Find chapters and articles on topics such as hypothesis testing, linear models, and missing data.
The acceptance region is the set of values of the test statistic for which the null hypothesis is not rejected. Depending on the shape of the acceptance region, there can be one or more than one critical value.
30 maj 2024 · Learn how to visualize the rejection region for a left, right and two tailed test in statistics. Adjust the level of significance and see the rejection region change on an interactive graph.
The rejection region is the region where, if our test statistic falls, then we have enough evidence to reject the null hypothesis. If we consider the right-tailed test, for example, the rejection region is any value greater than \ (c_ {1-\alpha} \), where \ (c_ {1-\alpha}\) is the critical value. Left-Tailed Test.
The rejection region is a crucial concept in hypothesis testing, representing the set of all values for which the null hypothesis is rejected. This region is determined by the significance level, often denoted as alpha (α), which defines the probability of making a Type I error.
