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9: Hypothesis Testing

  • Page ID
    10210
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    Hypothesis testing refers to the process of choosing between competing hypotheses about a probability distribution, based on observed data from the distribution. It is a core topic in mathematical statistics, and indeed is a fundamental part of the language of statistics. In this chapter, we study the basics of hypothesis testing, and explore hypothesis tests in some of the most important parametric models: the normal model and the Bernoulli model.


    9: Hypothesis Testing is shared under a CC BY 2.0 license and was authored, remixed, and/or curated by Kyle Siegrist via source content that was edited to conform to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.

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