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Hypothesis Testing — Neyman-Pearson Framework and Statistical Tests

A comprehensive treatment of hypothesis testing including Type I and Type II errors, power functions, the Neyman-Pearson lemma, uniformly most powerful (UMP) tests, likelihood ratio tests, t-tests, F-tests, and chi-square tests. Suitable for graduate-level mathematical statistics courses.
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More about this material

Material Type:
Tutorial
Date Added to MERLOT:
March 1, 2026
Date Modified in MERLOT:
March 1, 2026
Author:
Unknown (Know the author?)
Submitter:
Kevin hqy
Primary Audience:
College Upper Division
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
Unknown
Source Code Available:
Unknown
Creative Commons:
Unknown

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