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IASSC ICBB Exam - Topic 5 Question 91 Discussion

Following process modifications, the Null Hypothesis states that no improvement to the process has occurred. If we discover the Null Hypothesis Test was rejected when it was false that would be a(n) _______________.
B) Type II Error
A) Type I Error
C) Type III Error
D) Alpha Error

IASSC ICBB Exam - Topic 5 Question 91 Discussion

Actual exam question for IASSC's ICBB exam
Question #: 91
Topic #: 5
[All ICBB Questions]

Following process modifications, the Null Hypothesis states that no improvement to the process has occurred. If we discover the Null Hypothesis Test was rejected when it was false that would be a(n) _______________.

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Suggested Answer: B

by Kristeen at Jun 10, 2025, 03:51 PM

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Bea
9 months ago
Nope, Type I is when you think there's an effect when there isn't.
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Antonio
9 months ago
Wait, isn't it more complicated than that?
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Kristel
9 months ago
Agreed, rejecting a true null is classic Type I.
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Kara
9 months ago
It's definitely a Type I Error!
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Lettie
9 months ago
I thought Type II was about missing a real effect?
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Shawana
10 months ago
I feel like I've seen this exact question before! If we reject the null when it's false, that sounds like a Type I Error to me.
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Earleen
10 months ago
I thought Type II was about failing to reject the null when it’s false, so this must be Type I. But I could be mixing them up.
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Leigha
10 months ago
I remember practicing questions about Type I and Type II errors, but I'm not sure which one this is. I think it might be Type I since we rejected the null.
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Mitzie
10 months ago
I think a Type I Error is when we reject the null hypothesis when it's actually true, right? So this might be something else.
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Latanya
11 months ago
Okay, I'm feeling good about this one. The key is understanding that a Type I error is when you reject the null hypothesis when it's actually true. But in this case, the question says the null is false, so rejecting it would be a Type I error. Nice, I'm ready to mark my answer.
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Kimberlie
11 months ago
Let me see if I can break this down step-by-step. The null hypothesis states that no improvement has occurred. If we reject that null when it's actually false, meaning an improvement did occur, that would be incorrectly identifying an effect. That's the definition of a Type I error. Okay, I think I've got it now.
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Tayna
11 months ago
I'm pretty confident that the correct answer here is Type I error. The question is specifically asking about rejecting the null hypothesis when it's false, which matches the definition of a Type I error.
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Trinidad
11 months ago
Hmm, I'm a little unsure about this one. Is it possible that rejecting the null when it's false could be a Type II error instead? I'll have to think this through carefully.
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Fanny
11 months ago
Okay, this seems straightforward. If the null hypothesis is rejected when it's actually false, that would be a Type I error, right?
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