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Hypothesis Testing: Three Steps and Examples with Height Analysis - Lecture 15B

UofU Data Science via YouTube

Overview

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Learn the fundamentals of hypothesis testing through a detailed lecture that breaks down the three essential steps: formulating hypotheses, designing experiments, and executing experiments. Explore practical examples using height measurements with known variance to understand the statistical concepts and methodologies involved in hypothesis testing. Master the process of setting up, conducting, and interpreting statistical tests while following along with comprehensive examples and formulas that demonstrate real-world applications.

Syllabus

Introduction
Schedule
Review
Cheatsheet
Formulas
Canvas
Hypothesis Testing
Example
Design

Taught by

UofU Data Science

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