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Nov 23, 2024
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MATH062 HM - Introduction to Probability and Statistics
Credit(s): 3
Instructor(s): Haddock, Martonosi, Williams
Offered: Spring
Description: Sample spaces, events, axioms for probabilities; conditional probabilities and Bayes’ theorem; random variables and their distributions, discrete and continuous; expected values, means and variances; covariance and correlation; law of large numbers and central limit theorem; point and interval estimation; hypothesis testing; simple linear regression; applications to analyzing real data sets. Possible additional topics include ANOVA, multiple regression, and logistic regression.
Prerequisite(s): MATH019 HM
Corequisite(s): MATH073 HM
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