Question

Which of the following terms is used to describe the risk of a type 1 error in a hypothesis test?
Select one:
O A. Power
B. Confidence level
O C. Beta risk
O D. Level of significance​

Answer 1

The type I error rate or significance level is the probability of rejecting the null hypothesis given that it is true. It is denoted by the Greek letter α (alpha) and is also called the alpha level. Usually, the significance level is set to 0.05 (5%), implying that it is acceptable to have a 5% probability of incorrectly rejecting the true null hypothesis.

Many people decide, before doing a hypothesis test, on a maximum p-value for which they will reject the null hypothesis. This value is often denoted α (alpha) and is also called the significance level.

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Answer 2

Answer:

Correct option: D

Explanation:

• Risk 1 level error explain the error which are find out by the user at initial level of the project.
• It enables the user to set the result expectation in the relation of that specific problem.
• It generally occurs when the user rejects to accept the current condition.

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