18.05 | Spring 2022 | Undergraduate

Introduction to Probability and Statistics

Course Description

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 …

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. You have the option to enroll and track your progress, or you can view and use the materials without enrolling.

Learning Resource Types
Lecture Notes
Problem Sets with Solutions
Exams with Solutions
Readings
Activity Assignments with Examples
Exam Materials
Tools
Instructor Insights
Three six-sided dice with all sides showing in a plane.
Jon has three six-sided dice with unusual numbering. A game consists of two players each choosing a die. They roll once and the highest number wins. Which die would you choose? (Image from class slides.)