This course is an introduction to statistics with a focus on data analysis. Topics covered during the first half of the course include confidence intervals, hypothesis testing, and linear regression. The second half of the course concerns time-serieswith topics including exponential smoothing models, autoregressive and moving average models. Topics and methods in cluster analysis such as K-means cluster analysis and hierarchical cluster analysis will be covered near the end of thesemester. Ä¢¹½ÊÓƵ are introduced to practical data analysis skills using statistical software such as SAS or MATLAB, or using the R programming language.Not open to students who have completed or are taking STA 3155 or STA 4155.
Prerequisite: MTH 4120; or MTH 3120 and MTH 4119