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
Intro to Inferential StatisticsSan Jose State University via Udacity Inferential Statistics
University of Amsterdam via Coursera 医学统计学与SPSS软件(基础篇)
Peking University via Coursera Introduction to Biostatistics
NPTEL via Swayam Six Sigma Advanced Analyze Phase
University System of Georgia via Coursera