| Students are introduced to a hands-on approach to analyzing data using R. Topics will include: fundamental statistical concepts such as visualizing data, parameter estimation, p-value interpretation, effect size, model assumptions and power, as well as specific tests including t-test, ANOVA, ANCOVA, correlation, linear regression, multiple regression, and logistic regression. If time permits we will explore more advanced tests such as generalized linear models, regression/classification trees and multivariate techniques.Prerequisite: STAT 1793 or equivalent. |
