These online modules utilize blended learning to enhance the understanding of applied data analysis and statistical inference in students and other academic parties. This intermediate statistics course focuses on fundamentals of statistical inference and applied data analysis tools. It emphasizes thinking statistically, evaluating assumptions, and developing practical skills for real-life applications. Topics include t-tests and non-parametric alternatives, multiple comparisons, analysis of variance/linear regression, and missing data. Those who take the course can expect to gain a working knowledge of the statistical software R, which will be used for data analysis and for simulations designed to strengthen conceptual understanding.
R is free and open source software for Macs, PCs, and Linux. Find installation information here: PCs | Macs
Watch a video guide to installing R.
R is also available on all classroom and lab computers on campus.
For help installing R, visit the Help Desk in Clapp Library or email email@example.com
RStudio is a user interface for R that organizes the windows that you see while using R. We recommend that Windows users install both R and RStudio, as the default R interface on Windows is not user-friendly. RStudio is also particularly helpful for those who are used to Stata. The program is free and open source, and installers are available on the above Mac and PC pages.