The counterpart to STA 671, this class offers an extensive overview of sampling methods. This class is usually taken in the second half of the first semester. This class is a survey of multivariate techniques. Topics include exploratory factor analysis, principal components analysis, cluster analysis, logit analysis, anova, manova, and structural equation modeling. A course concerning the conceptual and applied basis of statistical analysis.
Emphasis is placed on the use of the computer in performing the various techniques.
A good introductory class, particularly useful for those students who have limited statistics experience, or who have been out of school for a while. Covers frequencies, crosstab tables, t-tests, anova, and simple regression. Provides an extensive look at designing and implementing research studies. Very extensive coverage of simple and multiple regression analysis. Generally offered every other year, this class provides a conceptual and applied approach to structural equation modeling.