The conceptual foundations of descriptive statistics and applications of these statistics using software (SPSS or Stata) to analyze and interpret social science data. Topics include frequency distributions, graphs, measures of central tendency and dispersion, measures of association, bivariate regression, and introduction to multivariate statistics. Includes: Experiential Learning Activity Prerequisite(s): SOCI 2000 and third-year standing. Lectures/computer labs three hours a week. [0.5 credits]
The conceptual foundations of descriptive statistics and applications of these statistics using software (SPSS or Stata) to analyze and interpret social science data. Topics include frequency distributions, graphs, measures of central tendency and dispersion, measures of association, bivariate regression, and introduction to multivariate statistics. Includes: Experiential Learning Activity Prerequisite(s): SOCI 2000 and third-year standing. Lectures/computer labs three hours a week. [0.5 credits]
