DA0-001 · Question #136
A hypothesis test sometimes rejects the null hypothesis even if the true value of the population parameter is the same as the value in the null hypothesis. This type of result is known as:
The correct answer is A. A Type I Error. Rejecting the null hypothesis when it is actually true in a hypothesis test is defined as a Type I Error.
Question
A hypothesis test sometimes rejects the null hypothesis even if the true value of the population parameter is the same as the value in the null hypothesis. This type of result is known as:
Options
- AA Type I Error
- BA Type II Error
- CA correct inference
- DThe confidence level of the inference
How the community answered
(25 responses)- A92% (23)
- B4% (1)
- C4% (1)
Why each option
Rejecting the null hypothesis when it is actually true in a hypothesis test is defined as a Type I Error.
A Type I Error occurs when a hypothesis test incorrectly rejects a true null hypothesis. This error is often denoted by alpha (α) and represents the probability of making such an incorrect rejection.
A Type II Error occurs when the null hypothesis is not rejected, but it is actually false.
A correct inference would be either rejecting a false null hypothesis or not rejecting a true null hypothesis.
The confidence level of the inference is related to the probability of making a correct decision, not the specific error itself.
Concept tested: Hypothesis testing - Type I Error
Source: https://learn.microsoft.com/en-us/power-bi/transform-model/data-modeling-calculations-types-of-statistical-errors
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