University of Nebraska Medical Center

Understanding Hypothesis Testing, Significance Level, Power and Sample Size Calculation

This e-module offers an in-depth discussion of the essential components of hypothesis testing: significance levels, statistical power, and sample size calculations, which are fundamental to rigorous research methodology. Learners will develop a comprehensive understanding of designing, interpreting, and evaluating research findings through interactive content and real-world case studies. This will enable them to make well-informed decisions based on statistical best practices. The module’s framework allows a thorough learning experience, starting from fundamental definitions and progressing to the hands-on implementation of statistical ideas. This ensures that learners acquire the essential abilities to conduct ethically appropriate and scientifically valid research.

Format: E-Learning Module
Development Date: April 4, 2024
Authors: Lynette Smith, Gaurav Kumar, Aislinn Rookwood, Su Chen
Discipline: Public Health

Funding for the creation of this module was provided by an award from the Office of the Vice Chancellor for Academic Affairs at the University of Nebraska Medical Center

Permission: This content is available for faculty to use in their course. To show a link to this content, please complete the form below.

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