DATA 229 PROBABILITY AND STATISTICS

Probability, discrete and continuous distributions, sampling distributions and the Central Limit Theorem, introduction to data analysis, estimation and hypothesis testing, simple linear regression and correlation; exact, normal-theory, and simulation-based inference; use of appropriate statistical software. Methods are illustrated in the context of quantitative research, with applications in disciplines such as sports, psychology, and social and natural sciences. This course is no longer offered; students whose degree requirements include DATA 229 should take DATA 122 (or equivalent) and MT 224. This course was formerly offered as MT 229.