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PHM 830 - Experimental Design & Data Analysis*


Practical application of statistical principles to the design of experiments and analysis of experimental data in pharmacology, toxicology, and related biomedical sciences.


  • Variables and measurement scale
  • Distribution and descriptive statistics
  • Statistical inference and introduction to hypothesis testing
  • Hypothesis testing: Comparison of two groups
  • Introduction to analysis of variance
  • Simple ANOVA designs and their non-parametric alternatives
  • Factorial ANOVA
  • A posteriori or posthoc multiple comparison methods
  • Transformations, outliers and missing data
  • Correlation and regression analysis
  • Analysis of categorical data
  • Survival analysis

Recommended Textbooks

No textbooks required; electronic materials utilized. Suggested supplemental book:

Intuitive Biostatistics: A non-mathematical guide to statistical thinking


Intuitive Biostatistics: A Nonmathematical
Guide to Statistical Thinking

(Motulsky, 4th edition.)


Recommended Background

Undergraduate degree in biology, chemistry or
related field.


Dr. William Jackson holds a PhD from Michigan State University, and specializes in microvascular cell ion channel physiology and pharmacology, control of peripheral arteriolar tone and local control of bloodflow.


Online: Summer, Fall





Sections available

  • 730 MSU Students
  • 731 Lifelong In-State
  • 732 Lifelong Out-State


  • MS/Pharmacology & Toxicology (Required)
  • MS/Integrative Pharmacology (Required)
  • Grad Cert/ SafetyPhm
  • PhD (Required)