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MATH035 HM - Probability and Statistics

Credit(s): 1.5

Benjamin, Martonosi, Omar, Orrison, Su, Williams. 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. (Fall, second half)

Prerequisite(s): MATH030B HM  or MATH030G HM