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Lecture 7: Parametric Hypothesis Testing

Introduces parametric hypothesis testing through a running-time example. The inspected opening distinguishes estimation from testing and shows how choices about a distribution, variance and alternative hypothesis constrain the question being answered.

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MIT OpenCourseWare Speaker not established advanced 1 hr 19 min

Why it is here

An advanced methods continuation for treatment-evidence readers: understand the assumptions behind a statistical test without confusing a test result with clinical importance or a complete causal explanation.

Selection basis: institutional collection. Reason checked 2026-11-07 by agent.

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Editorial judgement from the inspected opening: presupposes probability distributions, expectation/variance, maximum-likelihood estimation and the central limit theorem; mathematical study needs the preceding statistics material.
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MIT OpenCourseWare; original source https://ocw.mit.edu/courses/18-650-statistics-for-applications-fall-2016/resources/lecture-7-video/. Link and write original factual navigation by default; do not export cached descriptions, transcripts, media or logos as unrestricted data. Source reuse requires attribution, noncommercial use and share-alike where applicable.. Links, factual metadata and original navigation annotations only. No source page, transcript, image, video or restricted platform metadata is included in the reusable export.

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