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ASQ CQE Exam - Topic 6 Question 56 Discussion

The difference between setting alpha equal to 0.05 and alpha equal to 0.01 in hypothesis testing is
A) With alpha equal to 0.05, we are more willing to risk a type I error.
B) With alpha equal to 0.05, we are more willing to risk a type II error.
C) Alpha equal to 0.05 is a more 'conservative' test of the null hypothesis.
D) With alpha equal to 0.05, we are less willing to risk a type I error.

ASQ CQE Exam - Topic 6 Question 56 Discussion

Actual exam question for ASQ's CQE exam
Question #: 56
Topic #: 6
[All CQE Questions]

The difference between setting alpha equal to 0.05 and alpha equal to 0.01 in hypothesis testing is

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Suggested Answer: A

by Helene at Jul 30, 2022, 06:26 PM

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Kathryn
8 months ago
I thought 0.05 was safer, but now I'm confused!
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Onita
8 months ago
Definitely, 0.05 is less conservative than 0.01.
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Stephanie
9 months ago
Wait, are we sure about that? Seems a bit off.
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Elli
9 months ago
Totally agree, it's all about balancing risks!
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Dean
9 months ago
Alpha 0.05 means higher risk of type I error.
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Stephanie
9 months ago
I thought that with alpha at 0.05, we actually increase the chance of a type I error, but I might be mixing it up with type II errors.
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Dana
9 months ago
I feel like alpha 0.05 is less conservative than 0.01, but I can't recall if that means we accept more risk for type I errors.
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Matthew
9 months ago
I remember practicing a question about alpha levels, and I think a lower alpha like 0.01 makes us less likely to reject the null hypothesis.
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Chaya
9 months ago
I think setting alpha to 0.05 means we're more willing to risk a type I error, but I'm not entirely sure.
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Yesenia
9 months ago
Alright, let's break this down step-by-step. The question is asking about the service that determines the root cause, so I need to think about the role of each service in the closed loop system.
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Ryan
10 months ago
Ah, I think I know the answer to this one. The volume recovery queue should let us restore the deleted volume, right?
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