MATH 035 HM - Probability and Statistics

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.

Prerequisites: Calculus and Linear Algebra

Offered: Every year

Credit: 1

Course Number: MATH035 HM