3 credits
Fall 2025 Lecture
This course provides a basic understanding of foundational concepts and tools used in statistical analysis and inference in the behavioral sciences, including data preparation, sample description, hypothesis testing, univariate and bivariate statistics, and ANOVA. Emphasis is placed on the conceptual and interpretive understanding of statistical methods. Prerequisite: Undergraduate coursework in Statistics.
Learning Outcomes1Understand the basics of probability, sampling, and inferential theory underlying statistical methods.
2Understand univariate and bivariate statistics and ANOVA modeling methods.
3Formulate testable hypotheses.
4Apply proper statistical tests to evaluate hypotheses.
5Analyze data using univariate and bivariate statistics, ANOVA, and statistical software.
6Properly interpret the statistical estimates and tests covered in the course.
7Use statistical methods to test your research questions using empirical data.
8Produce written communication of analytic methods and interpretation of results.
Restrictions
GPA by professor
made by Purdue students.