Statistics for the Social Sciences

Catalog description

An introduction to the mathematical techniques used for evaluating behavioral and social science data as well as to the conceptual and theoretical framework behind many of these techniques. The semester will begin with a discussion of basic descriptive and predictive techniques (i.e., central tendency, variability, correlation and regression); but a greater part of the term will be spent discussing probability theory, hypothesis testing and scientific decision-making. Since this is a psychology course, emphasis will be placed on statistical applications for psychological data, but these methods can be used in other fields as well. When Offered: Offered in the spring. Lecture/Lab 3 hrs lecture, 1 hour lab