New method determines optimal sample size for accurate hypothesis testing.
The article introduces the idea of a precision function for determining sample sizes in scientific studies. It explains how these functions can help researchers when testing different hypotheses. By focusing on location and scale parameters, the article shows how to construct these precision functions. Examples are provided to demonstrate how these functions can be used effectively in practice.