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18.05 Introduction to Probability and Statistics, Spring 2014
Author(s)
Orloff, Jeremy
Bloom, Jonathan
Alternative Title
Introduction to Probability and Statistics
Date Issued
June 2014
Abstract
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.
Subjects
probability
statistics
models
combinatorics
expectation
variance
random variable
discrete probability distribution
continuous probability distribution
Bayes
distribution
statistical estimation
statistical testing
confidence interval
linear regression
normal
significance testing
bootstrapping
MIT Department
Massachusetts Institute of Technology. Department of Mathematics
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