This course covers the basics of applied statistics including descriptive statistics and visualization (including graphing), univariate methods, inference, hypothesis testing and confidence intervals, two-sample and paired analyses, simple and multiple linear regression, ANOVA and logistic regression. The course introduces and uses the R freeware package.
Prerequisites: Limited to Graduate Students Only.
Outcomes: Upon completion of this course, it is expected that students will skillfully and accurately perform real-time data analysis using R and R/Studio.
Prerequisites: Limited to Graduate Students Only.
Outcomes: Upon completion of this course, it is expected that students will skillfully and accurately perform real-time data analysis using R and R/Studio.