The alpha level, often set at 0.05, is the threshold of probability at which a researcher decides whether to reject the null hypothesis in a statistical test. It represents the risk of making a Type I error, which is the incorrect rejection of a true null hypothesis, and is crucial for determining statistical significance in hypothesis testing.