MATH 3350: Probability & Statistics (3)

Lecture: 3, Lab: 0, Other: 0

A calculus-based course in probability and statistics. Probability topics include binomial, geometric, and normal random variables; expected value and variance of random variables; a set-theoretic treatment of probability spaces; independence; and conditional probability. Statistics topics include descriptive statistics, regression, and confidence intervals along with hypothesis testing using z and t procedures, Chi-Squared tests, and ANOVA. Appropriate technology is required including statistics software (SPSS) and handheld technology (TI-84, TI-89 or TI-Inspire). Pre-requisite: MATH 2450 with a grade of C or better