The article explains how statistics are used in clinical trials and diagnostic testing. It shows how researchers design trials and choose the right statistical tests. They look at the chances of making mistakes, like saying a treatment works when it doesn't or the other way around. In diagnostic testing, they focus on finding false results to understand how well a test works. They use sensitivity and specificity to measure accuracy. By using these concepts, researchers can design better trials and understand test performance.