MATH 229. Introduction to Applied Statistics Using R
An introduction to applied statistics that is more rigorous than MATH 220 intended for students majoring in mathematics or statistics. Descriptive statistics, data collection, frequency distributions, sampling distributions and the Central Limit Theorem, estimation and testing of hypotheses, simple linear regression, correlation, and chi-square test of independence are covered. Emphasis is on the analysis and interpretation of real data in context. Uses the R programming language. Prerequisite: Sufficient statistics and calculus placement scores. The calculus placement score requirement may be waived for students with “C-” or better in MATH 231 .
Not open to students with credit in MATH 220 , MATH 220H , MATH 318 , MATH 329 or equivalent.