The alpha level is the threshold for statistical significance in hypothesis testing, commonly set at 0.05, indicating the probability of rejecting the null hypothesis when it is actually true. This level reflects the researcher’s willingness to accept a Type I error, which occurs when a true null hypothesis is incorrectly rejected. The choice of alpha level directly impacts the conclusions drawn from data analysis and helps in determining whether observed results are statistically significant or likely due to random chance.
congrats on reading the definition of alpha level. now let's actually learn it.