Year Published: 2022

Time to Complete: 45 minutes

Course Type: Self-paced Online

Instructor: Angie Mae Rodday, PhD, MS

Learning Level: Fundamental

Primary Audience: Investigators (PI, Co-PI, Co-I), Data Managers

Prerequisite: None

Course Collection(s): Research Design and Data Analysis


How can you decide which statistical test to use in research data analysis?

This self-paced course is designed to help researchers link a research question to the appropriate statistical test. In the first module, you will learn how to identify the population, intervention, control, and outcome from a research question. Module one also provides the basics of hypothesis testing and interpreting the p-value. Module two introduces different types of variables, which can then be used to determine the right statistical test. We discuss the two-sample t-test, paired t-test, chi-square test, analysis of variance (ANOVA), and their non-parametric counterparts. Finally, you will have an opportunity to test your knowledge using examples from the clinical literature.

Learning Objectives

After completing this course, you will be able to:

  • Write research objectives using a standardized format.
  • Explain the basics of hypothesis testing, including interpretation of the P value.
  • Identify the types of variables and how they are summarized.
  • Identify statistical tests commonly used for different types of outcome variables.
  • Select appropriate statistical tests to use for published clinical examples.



Available courses

Date Location Type Price
2024 Course: Open January 1 through December 31 Online Self-paced course This Course is Free