ST508 - Statistics for the Behavioral Sciences II
- Prerequisites: ST 507
- Term & Frequency: Every Spring
- Student Audience: PhD students in the Social Sciences
- Credit: 3 credits
- Recent Texts: Statistical Methods for the Social Sciences, fourth edition, by Alan Agresti and Barbara Finlay
- Recent Instructors: Rui Song, Tom Reiland
- Background and Goals: Statistics for the Behavioral Sciences II is a non-calculus-based, second course in statistics that will assist students with the analysis of data generated from research in the social sciences. Students will learn several methods for determining the relationships between variables. Emphasis is placed on learning when to use a particular method and interpreting models and related computer output. The use of mathematical formulas and notation is minimized. A literature review, which involves creating a summary paper and presentation, allows the student to relate the course material to his/her specific discipline.
- Content: Simple linear regression, multiple regression, logistic regression, analysis of variance, analysis of covariance and model selection. Statistical software, such as SAS and Statcrunch, will be used.
- Alternatives: ST 512, ST 514, ST 516
- Subsequent Courses: none
S1 2017 Sections:
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