MATH 2401 - Elementary Statistics II

This course is a continuation of MATH 1401, covering more advanced probability and statistical topics. Topics covered include normal distributions, binomial distributions, Poisson distributions, Chi-squared distributions, independence, conditional probabilities, Bayes’ Theorem, Central Limit Theorem, ordinary least squares regression (including multivariate regression), logistic regression, an introduction to sampling and experimental design, one-way ANOVA, using graphs to summarize and explain results. The analysis topics will be taught with an applied focus and statistical software will be used.

Prerequisite/Corequisite:
Prerequisite: MATH 1401 with a grade of C or higher

Hours:
3