Study reveals how sample size impacts accuracy of scientific studies
A power analysis helps determine how many people are needed for a study to find meaningful results. Scientists use this to avoid making mistakes in their conclusions. They look at the chance of making errors and how strong the effect they are studying is. A bigger effect needs fewer people to see it clearly. By planning carefully, researchers can make sure their results are reliable and important.