Principles of Stats for Engineers

Catalog description

This course introduces descriptive statistics; probability theory; discrete and continuous random variables; expected value and variance; the normal distribution; sampling distributions and the Central Limit Theorem; confidence intervals and hypothesis testing for means and proportions; simple linear regression; analysis of variance; multiple linear regression; model selection; and selected topics from quality control and experimental design. Applications to problems in science, engineering, computer science, and related areas are explored. STAT 2460 is intended primarily for students needing a calculus-based course in probability and statistics.