18.05 Introduction to Probability and Statistics, Spring 2014

Author(s)
Orloff, Jeremy; Bloom, Jonathan
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Alternative title
Introduction to Probability and Statistics
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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.
Date issued
2014-06
URI
https://hdl.handle.net/1721.1/153490
Other identifiers
18.05-Spring2014
Other identifiers
18.05
IMSCP-MD5-a65388e15b885e07a72ceecdbfc7110a
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Keywords
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
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