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Power analysis for non-normaly distributed traits

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posted on 07.12.2020, 04:09 by Caitlin Jenvey

An important step in the design of any research experiment is to determine the sample size required to detect an effect. Statistical power is the likelihood that a study will detect an effect when there is an effect to be detected.

A power analysis will estimate the sample size required for a given statistical power, effect size and significance level, assuming that your data is normally distributed. But what if your data is skewed, or non-normally distributed? This workshop will show you how to use R to assess if your data is non-normally distributed, how to determine the distribution of your data and how to perform a power analysis appropriate for that distribution.

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