CertNexus Exam AIP-210 Topic 1 Question 33 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 33
Topic #: 1

[All AIP-210 Questions]

Which two of the following statements about the beta value in an A/B test are accurate? (Select two.)

AThe Beta value is the rate of type II errors for the test.

BThe Beta value is the rate of type I errors for the test.

CThe statistical power of a test is the inverse of the Beta value, or 1 - Beta.

DThe Beta in an Alpha/Beta test represents one of the two variants of the A/B test.

Show Suggested Answer

Suggested Answer: B

Performance testing is a type of testing that should be performed at the production level before deploying a newly retrained model. Performance testing measures how well the model meets the non-functional requirements, such as speed, scalability, reliability, availability, and resource consumption. Performance testing can help identify any bottlenecks or issues that may affect the user experience or satisfaction with the model. Reference: [Performance Testing Tutorial: What is, Types, Metrics & Example], [Performance Testing for Machine Learning Systems | by David Talby | Towards Data Science]

by Bo at Oct 23, 2024, 11:42 PM

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Jacklyn

2 months ago

Wait, so the Beta value is the type II error rate, not the type I error rate? I always get those two mixed up. Good thing this is a multiple-choice exam and not an open-ended question!

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Zona

10 days ago

Yeah, the Beta value is indeed the rate of type II errors. It's easy to mix up with type I errors.

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Lenna

12 days ago

C) The statistical power of a test is the inverse of the Beta value, or 1 - Beta.

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Yolande

22 days ago

A) The Beta value is the rate of type II errors for the test.

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Maryann

2 months ago

Alright, let's see... The Beta value is the type II error rate, and the statistical power is the inverse of that. Seems pretty straightforward to me. I'll go with C) and A).

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Alpha

1 months ago

So, C) and A) are the correct statements about the Beta value in an A/B test.

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Marylyn

1 months ago

Yes, and the statistical power of a test is the inverse of the Beta value.

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Lashawna

1 months ago

I agree, the Beta value is indeed the rate of type II errors for the test.

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Virgie

2 months ago

Haha, D) is clearly a trick question. The Beta in an Alpha/Beta test? That's not even a thing! I'm going with C) and one of the other correct answers.

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Alisha

2 months ago

A) The Beta value is the rate of type II errors for the test.

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Shawna

2 months ago

C) The statistical power of a test is the inverse of the Beta value, or 1 - Beta.

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Ayesha

2 months ago

Hmm, I'm a bit confused here. Isn't the Beta value related to the two variants in an A/B test? I'll have to think this one through a bit more.

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Huey

24 days ago

I think you're right. The Beta value is not directly related to the variants themselves.

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Richelle

1 months ago

The Beta value is related to the two variants in an A/B test.

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Nobuko

1 months ago

C) The statistical power of a test is the inverse of the Beta value, or 1 - Beta.

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Caitlin

2 months ago

A) The Beta value is the rate of type II errors for the test.

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Leonie

3 months ago

C) is definitely correct - the statistical power is 1 - Beta. I remember that from my statistics class. The Beta is the type II error rate, not the type I error rate. This is a pretty straightforward question.

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