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: Concept Identification:
The query seeks the statistical term for the probability of committing a Type I error. Hypothesis testing involves two potential error types.
Step 2: Elaboration:

Type I Error: This error transpires when a true null hypothesis is rejected, leading to the conclusion of an effect that does not exist. The probability of a Type I error is symbolized by the Greek letter \(\alpha\) (alpha). The significance level of a test establishes the threshold for this probability (e.g., \(\alpha\) = 0.05).

Type II Error: This error occurs when a false null hypothesis is not rejected, leading to the conclusion of no effect when one actually exists. The probability of a Type II error is represented by the Greek letter \(\beta\) (beta).

Consequently, both the significance level and the probability of a Type I error are referred to as alpha.
Step 3: Conclusion:
The probability of a Type I error, which is also the significance level, is termed Alpha.