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Data Analysis in Psychology

PSYCH 2220: Data Analysis in Psychology

Discussion of statistical analysis of psychological data - random samples, graphical and numerical techniques of descriptive statistics, correlation, regression, probability, sampling distribution, and hypothesis testing.
Prereq: 1100 or 1100H, and Stat 1450, Math 1130, 1148, 1149, 1150, or 1151, or equiv, or Math Placement Level M or higher; or permission of instructor.
Credit Hours
3

Sample Topics:

  • Introduction and Overview
  • Frequency Distributions
  • Central Tendency
  • Variability
  • z-Scores
  • Probability
  • Probability and Samples
  • Introduction to Hypothesis Testing
  • Introduction to the t Statistic
  • t Test for 2 Independent Samples
  • t Test for 2 Related Samples
  • Correlation
  • Introduction to Regression

Meets the following Psychology Major Goals:

Knowledge Base in Psychology

  • Describe key concepts, principles, & overarching themes in psychology

Scientific Inquiry & Critical Thinking

  • Use scientific reasoning to interpret psychological phenomena
  • Demonstrate psychology information literacy
  • Engage in innovative & integrative thinking & problem solving
  • Interpret, design, & conduct basic psychological research

Communication

  • Demonstrate effective writing for different purposes

Professional Development

  • Apply psychological content & skills to career goals
  • Exhibit self-efficacy & self-regulation
  • Refine project-management skills

To find course availability and times, please visit the Ohio State Course Catalog and Master Schedule.