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This document presents the basic concepts and the process of statistical hypothesis testing. It explains that a hypothesis is a statement about a population parameter that can be true or false. It details the types of hypotheses (null and alternative), Type I and Type II errors, and the steps of the hypothesis testing process. Finally, it provides examples of how to apply this process to test hypotheses about the population mean.

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