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: