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PSYCH 210

BASIC STATISTICS FOR PSYCHOLOGY

3 credits.

Measures of central tendency, variability; probability, sampling distributions; hypothesis testing, confidence intervals; t-tests; Chi-square; regression and correlation (linear) and introduction to analysis of variance (1-way).

Prerequisites & course information

Requisites: Satisfied Quantitative Reasoning (QR) A and ( PSYCH 202 or concurrent enrollment) Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Comm QR - Quantitative Reasoning B Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Explain why data beat anecdotes. Audience: Undergraduate 2. Understand why association is not causation Audience: Undergraduate 3. Explain the fundamental concepts and apply the basic procedures that underlie descriptive and inferential statistics Audience: Undergraduate 4. Interpret and draw conclusions from graphical displays and standard output from statistical software packages. Audience: Undergraduate 5. Understand why statistical significance does not necessarily imply practical importance. Audience: Undergraduate 6. Demonstrate an awareness of ethical issues associated with sound statistical practice. Audience: Undergraduate Learning Outcomes: 1. Explain why data beat anecdotes. Audience: Undergraduate 2. Understand why association is not causation Audience: Undergraduate 3. Explain the fundamental concepts and apply the basic procedures that underlie descriptive and inferential statistics Audience: Undergraduate 4. Interpret and draw conclusions from graphical displays and standard output from statistical software packages. Audience: Undergraduate 5. Understand why statistical significance does not necessarily imply practical importance. Audience: Undergraduate 6. Demonstrate an awareness of ethical issues associated with sound statistical practice. Audience: Undergraduate

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