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"Hypothesis Testing" as a category for books encompasses works that delve into the statistical methods and principles used to determine the validity of assumptions or claims about a population based on sample data. This genre includes textbooks, academic treatises, and practical guides that explore the formulation of null and alternative hypotheses, the selection of appropriate statistical tests, and the interpretation of results. Books in this category often cover a range of topics such as p-values, confidence intervals, Type I and Type II errors, and the power of a test. They may also include real-world applications across various fields such as psychology, medicine, economics, and the social sciences, providing readers with both theoretical foundations and practical insights into the process of making data-driven decisions.

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