This is a course on applied statistics. The course will start with a review of univariate descriptive and
inferential statistics to introduce the statistical software package SPSS. The first part of the course will
cover selected predictive methods such as simple linear regression, multiple regression, and nonlinear
regression. The second part will introduce multivariate methods for data classification and data reduction:
cluster analysis, discriminant analysis, principal components, and exploratory factor analysis. The methods
will be explained using applied cases. Students will be required to use SPSS for their assignments and final
projects based on examples covered in class.