ASQ
CQE · Question #125
The difference between setting alpha equal to 0.05 and alpha equal to 0.01 in hypothesis testing is
The correct answer is A. With alpha equal to 0.05, we are more willing to risk a type I error. See the full explanation below for the reasoning.
Statistical Tools and Techniques
Question
The difference between setting alpha equal to 0.05 and alpha equal to 0.01 in hypothesis testing is
Options
- AWith alpha equal to 0.05, we are more willing to risk a type I error.
- BWith alpha equal to 0.05, we are more willing to risk a type II error.
- CAlpha equal to 0.05 is a more "conservative" test of the null hypothesis.
- DWith alpha equal to 0.05, we are less willing to risk a type I error.
How the community answered
(61 responses)- A80% (49)
- B3% (2)
- C5% (3)
- D11% (7)
Topics
#significance level#type I error#alpha#hypothesis testing
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