Sample Size Matters

Could you have misconceptions about data visualization and statistical analysis that may affect the outcomes of your research? Misconceptions and problems with data visualization and statistical analysis are common in published studies. In this course, learners identify and correct misconceptions about data visualization and statistical analysis that are common in the basic biomedical sciences and other disciplines using small sample size studies.

Unsure if Sample Size Matters is for you? Take this quiz to see what misconceptions you may have.

The Sample Size Matters course is approximately 10 hours of instruction. It is brought to you in an asynchronous format, allowing you to engage with the materials at your own pace and on your timeline. Registering for the course will give you access for one year.

Program highlights

  • Approximately 10 hours of educational content available anytime and anywhere.
  • Self-directed and self-paced (asynchronous).
  • Participants will have access to the course materials for one year.
  • A digital badge is awarded upon successful completion of the program.


The course cost is $750 for non-Mayo participants. Mayo Clinical employee internal pricing is discounted and shown after logging in to the Executive Education registration page.


Sample Size Matters is available to all Mayo Clinic employees and the general public.


Registration is available anytime on our Executive Education registration page.


The online Sample Size Matters self-paced course can be completed in approximately 10 hours. It is delivered through a series of units and scenarios outlined below.

Course outline

  • Data Visualization.
    • Beyond Bar Graphs.
      • The Problem With Using Bar Graphs for Continuous Data.
      • What To Use Instead?
      • Resources for Creating More Informative Figures.
    • Line Graphs.
      • Interpretation and Limitations.
      • Creating Interactive Line Graphs.
      • Alternatives to Static Line Graphs.
    • Understanding Variability and Summary Statistics.
      • What Are Summary Statistics?
      • What Summary Statistics Should We Report?
      • Standard Deviation and Standard Error.
  • Statistical Analysis.
    • Challenges With Small Sample Sizes.
      • Simulator Activity.
    • Implications of Power and Effect Size.
      • Power and Effect Size.
      • Simulator Activity: Power.
      • Simulator Activity: Effect Size.
      • False Discovery Rate.
      • Exploratory and Confirmatory Studies.
    • Clustered Data.
      • Types of Non-Independent Study Designs.
      • Advanced Concepts.
      • Presenting Clustered Data.
      • Why Account for Nonindependence?
      • Strategies for Analyzing Clustered Data.
      • Reporting.
    • Reporting.
      • Understanding the Problem.
      • Solutions.
    • Selective Reporting, Publication Bias, and Multiple Comparisons.
      • What Is Publication Bias?
      • Simulator Activity.
      • What Have We Learned?
      • Selective Reporting.
      • Solutions.
  • Synthesis: Three Scenario Exercises With Quizzes.

Upon completion, learners will be awarded a digital badge they can share on social networks, such as LinkedIn. The learner must pass all lesson quizzes with an 80% or higher score to obtain this badge.


Please contact the CCaTS Executive Education and Workforce team with any questions.