This course covers the theory and applications of descriptive and inferential statistics. Statistical methods are implemented using Microsoft Excel and the R statistical programming language. No prior experience with Excel or R is required. Specific topics include study design and sampling, describing data distributions, the normal distribution, confidence intervals, hypothesis testing, chi-square distributions, correlations, and ANOVA.
Semester Offered
Offered spring