The likelihood of committing a Type I error is denoted by the alpha level (α), which is typically set at 0.05. This means that there is a 5% chance of rejecting the null hypothesis when it is actually true. Researchers often choose this threshold to balance the risk of making Type I errors against the risk of making Type II errors (failing to reject a false null hypothesis).
