An introduction to sample size, effect size, and statistical power for biomedical researchers
Ever wondered how many participants you need to ensure your findings are solid? How likely is it that the relationship you’ve detected actually exists and isn’t due to chance? Excited to learn how to go beyond p values in hypothesis testing? Look no further! The infographic below demystifies sample size, statistical power, and effect size for biomedical researchers, breaking down these concepts into bite-sized nuggets so that you can design studies that stand up to scrutiny and make a real impact.
An introduction to sample size, effect size, and statistical power for biomedical researchers.png
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This content belongs to the Conducting Research Stage
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