Introductory Hypothesis Testing
Offered By: Professor Knudson via YouTube
Course Description
Overview
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.
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
Related Courses
Introduction to Operations ManagementWharton School of the University of Pennsylvania via Coursera Computational Molecular Evolution
Technical University of Denmark (DTU) via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)
The Chinese University of Hong Kong via Coursera Fundamentals of Clinical Trials
Harvard University via edX Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax