
Bayesian updating with conjugate normal distributions. (Image by Jerry Orloff and Jonathan Bloom.)
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.
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As Taught In: | Spring 2014 |
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Undergraduate
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Learning Resource Types
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Problem Sets with Solutions
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Exams with Solutions
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