Explore the fundamentals of hypothesis testing in this comprehensive 1.5-hour lecture. Delve into key concepts such as hypothesis testing for one mean, hypothesis test errors, and p-values. Learn about hypothesis testing for one mean with unknown variance, paired data analysis, and the two-sample t-test. Gain insights into hypothesis testing for one proportion. Develop a solid foundation in statistical analysis techniques essential for making data-driven decisions and conducting research across various fields.
Overview
Syllabus
1. Introduction to Hypothesis Testing for One Mean.
2. Hypothesis Test Errors.
3. P-Values (part 1 of 2).
4. P-Values (part 2 of 2).
5. Hypothesis Testing for One Mean (Variance Unknown).
6. Hypothesis Testing for Paired Data.
7. Hypothesis Testing: Two Sample T-Test.
8. Hypothesis Testing: One Proportion.
Taught by
Professor Knudson
