Bayesian updating with conjugate normal distributions. (Image by Jerry Orloff and Jonathan Bloom.)
Instructor(s)
Jeremy Orloff
Jonathan Bloom
MIT Course Number
18.05
As Taught In
Spring 2014
Level
Undergraduate
Course Description
Course Features
- Selected video lectures
- Subtitles/transcript
- Interactive Assessments
- Lecture notes
- Assignments and solutions
- Exams and solutions
- Instructor insights
- This Course at MIT
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.
The Spring 2014 version of this subject employed the residential MITx system, which enables on-campus subjects to provide MIT students with learning and assessment tools such as online problem sets, lecture videos, reading questions, pre-lecture questions, problem set assistance, tutorial videos, exam review content, and even online exams.
Other Versions
Other OCW Versions
Archived versions: 