Explore the fundamentals of hypothesis testing in this comprehensive video series. Learn about rejection regions, p-values, Type I and Type II errors, power calculations, and statistical significance. Dive into Z tests and t tests for one mean, including their assumptions and applications. Understand the relationship between confidence intervals and hypothesis tests, and investigate the factors affecting test power. Gain practical experience through examples and learn how to assess the normality assumption in t tests.
Overview
Syllabus
An Introduction to Hypothesis Testing.
Z Tests for One Mean: Introduction.
Z Tests for One Mean: The Rejection Region Approach.
Z Tests for One Mean: The p-value.
Z Tests for One Mean: An Example.
One-Sided Test or Two-Sided Test?.
Type I Errors, Type II Errors, and the Power of the Test.
Statistical Significance versus Practical Significance.
The Relationship Between Confidence Intervals and Hypothesis Tests.
What is a p-value? (Updated and extended version).
Calculating Power and the Probability of a Type II Error (A One-Tailed Example).
What Factors Affect the Power of a Z Test?.
Hypothesis Testing in 17 Seconds.
t Tests for One Mean: Introduction.
t Tests for One Mean: An Example.
t Tests for One Mean: Investigating the Normality Assumption.
Taught by
jbstatistics
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