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POP HLTH 551

INTRODUCTION TO BIOSTATISTICS FOR POPULATION HEALTH

4 credits.

Designed for population health researcher. Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.

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Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Identify and recognize statistical and probability terminology, symbols, definitions, and formulas Audience: Graduate 2. Explain the meaning, assumptions, and interrelationships of statistical and probability concepts and formulas Audience: Graduate 3. Execute probability and statistical calculations from information provided Audience: Graduate 4. State assumptions, conclusions and interpretation in terms of statistical and probability computations Audience: Graduate Learning Outcomes: 1. Identify and recognize statistical and probability terminology, symbols, definitions, and formulas Audience: Graduate 2. Explain the meaning, assumptions, and interrelationships of statistical and probability concepts and formulas Audience: Graduate 3. Execute probability and statistical calculations from information provided Audience: Graduate 4. State assumptions, conclusions and interpretation in terms of statistical and probability computations Audience: Graduate

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