Data Analysis.

Catalog description

Basic statistical principles, probability rules, R programming, probability distributions, estimation and testing related to binomial and Poisson distributions, goodness-of-fit test, contingency-table models, the normal distribution, sampling distributions, simulations, one- and two-sample inferences, bootstrap inferences, nonparametric tests, simple linear regression, one-way analysis of variance, model assessment, and multiple testing. R is used for modeling and plotting data based examples and exercises.