Probability And Statistics II

Catalog description

Topics include review of univariate probability distributions, multivariate distributions, statistical inference, and properties of point estimators, nonparametric statistics, and elementary Bayesian Statistics. A statistical computer package will be used. Typically offered Fall Spring. Prerequisite(s): MA 26100 FOR LEVEL UG WITH MIN. GRADE OF C- AND STAT 34500 FOR LEVEL UG WITH MIN. GRADE OF C- Course Learning Outcomes 1. Calculate the probability distribution of a function of random variables. 2. Derive the estimators of the parameters and interpret their properties. 3. Distinguish between parametric and nonparametric test procedures. 4. Use Bayesian methods for inference. View Class Schedule