DSC 311 - Applied Statistics

3 credits
An introduction to modern statistical techniques used to analyze and interpret data. Experimental design, data collection, descriptive and inferential statistics will be covered. Inferential analyses covered include hypothesis testing for single means and proportions, difference between two means and proportions (t and z tests), paired means, multiple means (ANOVA), and linear regression and correlation. Statistical software program (e.g. R) use will be introduced. 3 hrs lecture
Prerequisite(s): Jr status or MAT 221 or MAT 117
Term Offered: Fall semester