Techniques in data analysis, probability, sampling distributions, and procedures of estimation. Topics include classical, Bayesian, and distribution free approaches to hypothesis testing, linear regression and curve fitting, and analysis of variance methods in experimental design. Techniques are applied with appropriate statistical software (e.g., SPSS, Excel). Includes: Experiential Learning Activity Prerequisite(s): third-year standing, PSYC 2001, and PSYC 2002. Lectures and tutorial four hours a week. [1.0 credit]
Techniques in data analysis, probability, sampling distributions, and procedures of estimation. Topics include classical, Bayesian, and distribution free approaches to hypothesis testing, linear regression and curve fitting, and analysis of variance methods in experimental design. Techniques are applied with appropriate statistical software (e.g., SPSS, Excel). Includes: Experiential Learning Activity Prerequisite(s): third-year standing, PSYC 2001, and PSYC 2002. Lectures and tutorial four hours a week. [1.0 credit]
