The article explains how scientists can design experiments and choose the right number of participants using power analysis. It gives tips on good experimental design, like using randomization and replication. The article also shows that sample size increases with power and variance, and that two-sided tests need more participants than one-sided tests. This information helps visual scientists plan experiments with normal and non-Gaussian sample distributions.