Course Description

89-210 Introductory Probability and Statistics F(3-2)

Basic probability; Discrete random variables, examples (e.g. Bernoulli, binomial, geometric), expected values, variances; Markov chains and their properties; Continuous random variables (e.g Gaussian); Methods of elementary data summarizations, analysis and statistical inference (estimation, testing, regression, correlation, and related distributions). Laboratory work will include basic experimentation with sampling and with statistical computer packages.

Prerequisites: 63-101 or 63-121 or 66-121.

Corequisites: (63-215 or 63-216), (63-208 or 63-220).

Exclusions: 89-204.

Course Profile

1998-99 Undergraduate Calendar