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).
Prerequisite/Corequisite: Prerequisite: MATH 2460 (may also be taken concurrently)
Hours: 3
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