MATH 200 - Statistical Methods I

(3 credits)
Prerequisite: MATH 141 with a minimum grade of “C-” or MATH 151 with a minimum grade of “C-” or MATH 161 with a minimum grade of “C-” or consent of instructor
This course provides an introduction to statistical methods for acquiring, describing and making decisions from data. Topics include induction, sampling design, the calculation and choice of descriptive statistics as measures of central tendency and variability, permutations, combinations, random variables, probability models, conditional probability, independence, the law of total probability and Bayes’ Theorem, expected values, confidence intervals for means and proportions, the Central Limit Theorem, common univariate distributions to include the binomial, normal, t, and exponential distributions, and an introduction to hypothesis testing. Offered fall, spring, summer.