Overview
This course covers the fundamentals of hypothesis testing, including topics such as hypothesis test errors, P-values, and various types of hypothesis tests like one mean, two sample T-test, and one proportion. By the end of the course, students will be able to conduct hypothesis tests, interpret results, and make informed decisions based on statistical analysis. The course is designed for individuals looking to enhance their understanding of hypothesis testing and its applications in research, data analysis, and decision-making.
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