Introduction to Probability and Statistics
18.05 · Mathematics · Undergraduate · Spring 2022
Dr. Jeremy Orloff, Dr. Jennifer French Kamrin
<p>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.</p> <p>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 you…
The syllabus, on MIT OpenCourseWare
The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:
Syllabus ↗
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Attribution
Dr. Jeremy Orloff, Dr. Jennifer French Kamrin. 18.05 Introduction to Probability and Statistics. Spring 2022. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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