Alpha level

In the context of general knowledge, the alpha level typically refers to a threshold set in statistics, particularly in hypothesis testing. It represents the probability of making a Type I error, which occurs when a researcher incorrectly rejects a true null hypothesis. Commonly set at 0.05, the alpha level indicates that there's a 5% chance of concluding that a difference or effect exists when it actually doesn't. Essentially, it helps researchers determine how confident they can be in their findings, guiding decisions in fields like science and social research.