Statistics Done Wrong: The Woefully Complete Guide

by Alex Reinhart

Thinking about results in terms of confidence intervals provides a new way to approach experimental design. Instead of focusing on the power of significance tests, ask, “How much data must I collect to measure the effect to my desired precision?”