Statistical analysis is the backbone of applied scientific thought, and it also features prominently in business and policy, both historically and today. This course aims to help bring all entering MaCSS students up to the required level of proficiency in applied statistics to be successful in their coursework and future careers. Students will develop the statistical intuition and analytical techniques to achieve proficiency in programming in R with Jupyter notebooks and with RStudio, univariate statistics, measurement reliability and validity, sampling and inference, hypothesis testing, and linear regression.

Repeat Rules

Course is not repeatable for credit.