PROBABILITY AND STATISTICS

Catalog description

This course serves as an introduction to probability theory and statistics. It covers basic concepts of probability, independence, conditional probability, random variables, with emphasis on probability distributions that frequently arise in applications. Convergence in distribution and convergence in probability; the central limit theorem, and the weak law of large numbers. Topics from classical and Bayesian statistics, and introduction to linear regression. 002003