Optimal sample size calculation for null hypothesis significance tests
Abstract
null Traditional study design tools for estimating appropriate sample sizes are not consistently used in ecology and can lead to low statistical power to detect biologically relevant effects. We have developed a new approach to estimating optimal sample sizes, requiring only three parameters; a maximum acceptable average of α and β, a critical effect size of minimum biological relevance, and an estimate of the relative costs of Type I vs. Type...
Paper Details
Title
Optimal sample size calculation for null hypothesis significance tests
Published Date
Feb 4, 2019
Journal
Pages
540468
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