Statistical Computing I

3 credits · Undergraduate

(3 hrs Lecture | 1.5 hrs Lab) This course introduces the use of modern statistical computer packages for data management and data analysis. Topics include introduction to the statistical programming language R, pseudo random number generation, simulation of discrete and continuous random variables, test of one and two sample means and proportions, linear regression, analysis of contingency tables, non-parametric statistics and ANOVA. Requisite Courses: STAT-1302 or STAT-2001 [prerequisite(s)]; STAT-2903L (lab) (must be taken concurrently).