Introduction to Probability and Statistics
Free, no sign-up neededSelf-pacedEnglish
About this course
This course provides an elementary introduction to probability and statistics with applications. Topics include basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression. These same course materials, including interactive components (online reading questions and problem checkers) are available on MIT’s Open Learning Library, which is free to use.
Description from MIT OpenCourseWare.
Ways to take this course
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Self-paced
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2022