Citation:
The alpha level, denoted as α, is the threshold for determining statistical significance in hypothesis testing. It represents the probability of making a Type I error, which occurs when the null hypothesis is incorrectly rejected. An alpha level of 0.05 indicates that there is a 5% risk of concluding that a difference exists when there is none, thus it helps researchers decide whether to accept or reject their hypotheses based on their data analysis.