PSYC2330 Statistics for Psychology/Behavioral Sciences

Course Description

Meets Mn Transfer Curriculum Goal Area 5 - History/Social, Behavioral Sciences. Students use basic mathematical and computerized procedures to analyze data in the behavioral sciences. Students use statistical software (e.g., "SPSS", "R", "PSPP") to conduct descriptive and inferential data analyses. Students choose and apply statistical procedures to help to answer psychological and behavioral scientific research questions. Students build upon knowledge gained in Statistics to read, interpret, and write APA-style results sections for behavioral science research.

This course is required for the Psychology (Minnesota State Transfer Pathway) [AA-P] program.

Student Learning Outcomes

  • Demonstrate an understanding of the mathematics and logic behind selecting and applying statistical procedures appropriate for a given hypothesis, scale of measurement, and experimental design.
  • Perform and describe the statistical procedures commonly used by social scientists including their respective advantages and disadvantages. These include:
    a) Creating a visual display of data (e.g., bar chart, histogram)
    b) Measures of central tendency, variability, and frequency distributions.
    c) Correlational and regression analyses.
    d) Inferential statistical procedures, including t-tests, ANOVAs, multiple comparison tests, confidence intervals, and effect sizes.
    e) Nonparametric tests (e.g., chi-square).
  • Read, interpret, and summarize basic statistical conclusions from psychological and behavioral science sources accurately and critically evaluate the statistical presentations of others.
  • Interpret statistical findings and graphs in the context of their level of statistical significance, confidence intervals, effect sizes, and underlying assumptions, and explain these findings using common language and conventions of the American Psychological Association.
  • Use SPSS or another statistical package to build data sets, run univariate analyses, and interpret and display results.


Please see eServices for section availability and current pre-req/test score requirements for this course.

4 credits: 3 lectures / presentations, 1 lab, 0 other