MGT 5200 Foundations for Quantitative Methods
3 units
Management
Telfer School of Management
This course gives students a solid understanding of univariate statistics, meaning how to test whether one or more variables each explain significant variance in a single outcome variable. They learn about the general linear model, which incorporates several different statistical models and tests, such as ANOVA, ANCOVA, ordinary least squares (OLS) regression, the t-test, and the F-test. Students learn how the model’s parameters (e.g., regression coefficients) are estimated, how statistical tests are used to draw inferences on those estimates, what the assumptions for using those tests are, and how the general linear model can be applied to different types of predictor variables (e.g., continuous, categorical) and data structures (cross-sectional, time series, panel/repeated measures).
Components:
Seminar
Previously Offered Terms:
Fall