Question

The significance level, which is the chance of making a Type I error, is called ............

• A. Alpha
• B. Beta
• C. Gama
• D. Delta

Hint:

Remember: {Alpha (\(\alpha\))} is the probability of a f{A}lse alarm (rejecting a true null). {Beta (\(\beta\))} is the probability of a {B}lind miss (failing to reject a false null).

Answer 1

The Correct Option is A

Step 1: Understanding the Concept:
The question asks for the statistical term for the probability of making a Type I error. In hypothesis testing, there are two types of potential errors.
Step 2: Detailed Explanation:

Type I Error: This occurs when we reject a true null hypothesis. We conclude there is an effect when, in reality, there is not. The probability of making a Type I error is denoted by the Greek letter \(\alpha\) (alpha). The significance level of a test is the threshold we set for this probability (e.g., \(\alpha\) = 0.05).
Type II Error: This occurs when we fail to reject a false null hypothesis. We conclude there is no effect when, in reality, there is one. The probability of making a Type II error is denoted by the Greek letter \(\beta\) (beta).
Therefore, the significance level and the chance of a Type I error are both called alpha.
Step 3: Final Answer:
The significance level, representing the probability of a Type I error, is called Alpha.