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 |