Statistics for the Behavioral Sciences

Catalog description

This course introduces the appropriate use of statistical techniques in behavioral sciences including probability, hypothesis testing, and predictive techniques to facilitate decision-making. Other topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square, and t-tests. Also, students will learn the application of technology for statistical analysis, including interpreting the statistical findings' relevance. The goal of this course is to demonstrate the role of quantitative methods in behavioral science using data from psychology, sociology, criminal justice, political science, and anthropology. This course is recommended for students in the Social Sciences in lieu of another statistics course. This course is not open to students with credit in MATH 11, MATH 11C, STAT C1000, STAT 7, or PLS 9. PREREQUISITES: Mathematics 103 or equivalent. ADVISORIES: ENGL C1000 or ENGL C1000H (Formerly ENGL 1A or ENGL 1AH) ANTI-REQUISITES: STAT C1000, STAT 7, or PLS 9 (A, CalGETC, CSU, UC) (C-ID SOCI 125)