Statistics for Social Science

Catalog description

Introduction to statistical reasoning, theory and techniques with applications to social sciences. Summation notation, frequency distributions; graphs; percentiles; measures of central tendency and variability; standard score; the normal curve; statistical inference; one-sample tests of significance; confidence intervals; 2-sample tests of significance; linear correlation and regression; chi-square; elements of probability; sampling methods, and principles of estimation and testing. Credit given for only one of the following courses: SSC 31100, Eco 20150, PSY 21500, SOC 23100, MATH 20900.