Description
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).
Prerequisites
- Prerequisite(s): third-year standing, PSYC 2001 , and PSYC 2002 .
Conditions and arrangements
- Prerequisite(s): third-year standing, PSYC 2001 , and PSYC 2002 .
- Lectures and tutorial four hours a week.
Reference text in its original language
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).
- Prerequisite(s): third-year standing, PSYC 2001 , and PSYC 2002 .
- Lectures and tutorial four hours a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/PSYC/