In the context of hypothesis testing, two types of errors can occur:
Type I Error: This occurs when the null hypothesis is rejected when it is actually true. The probability of making a Type I error is denoted by α (alpha), which is also known as the significance level. Type II Error: This occurs when the null hypothesis is not rejected when it is actually false. The probability of making a Type II error is denoted by β (beta).
