Applied Probability and Statistics.

Catalog description

A non-calculus-based introduction to methods of probability and statistics. Topics to be covered are combinatorial probability, random variables and their distributions, distribution functions and their properties, and the Central Limit Theorem and its applications. Sample-based inferences of population means and standard deviations, significance tests and confidence limits, tests of hypotheses, ANOVA, and regression analysis are covered. Typically Offered: Spring. Prerequisites : MATH 103 or MATH 104 or MATH 107 or MATH 110 or MATH 165 or MATH 210 .