Power analysis for non-normaly distributed traits

Full description

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.