Statistical Methods for Data Analysis (MAT2104.01)

Kathryn Montovan

This course focuses on developing the statistical skills needed to design studies, to analyze large datasets and to be a critical consumer of statistical results. We will design studies, collect and analyze data, and create effective presentations of results. We will also analyze large observational datasets. Emphasis will be placed on gaining a solid conceptual understanding of the main statistical tests and practical skills for conducting data analysis, with minimal use of formulas. We will be using statistical software called R for data visualization and analysis.  We will focus on correlation, regression, logistic regression, ANOVA, and chi-square testing.

While there are no formal prerequisites for the course, you should be willing to think deeply about concepts and to do the work required for class-based research projects.

Prerequisites: None.
Credits: 4
M 10:10am - 12:00pm; Th 10:10am - 12:00pm
Maximum Enrollment: 18
Course Frequency:
This course is categorized as Kathryn Montovan, All courses, Environment, Four Credit, 2000, Mathematics, and tagged .