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What is Understanding Tests of Significance about?

This document provides an overview of tests of significance, including: - Tests of significance compare observed data to a claim or hypothesis to assess the evidence. They have a null hypothesis that is tested against an alternative hypothesis. - The null hypothesis states there is no difference or effect, while the alternative hypothesis states there is a difference or effect. P-values represent the probability of obtaining extreme results if the null hypothesis is true. - An example walks through test

Author

Manish K

Language

EN