Description: Introduction to probability theory. Random variables,expectation, variance and moment generating functions. Distributions: Bernoulli, uniform, Gaussian, exponential, poisson, gamma, Introduction to statistical concepts. Sampling and sample statistics. Point and interval estimation. Hypothesis testing. Regression. Numerical and computational aspects of random variable generation, sampling, and estimation.

Prerequisite: MATH 101