The article discusses how to prevent errors when conducting many statistical tests at once, like in a microarray study. By adjusting p-values, researchers can control the chances of making false conclusions. Methods that focus on False Discovery Rate provide more statistical power than those focusing on type I error. In microarray studies, where genes can be related, some p-value adjustment methods may not work well.