Huawei Exam H13-311_V3.0 Topic 6 Question 90 Discussion

Actual exam question for Huawei's H13-311_V3.0 exam

Question #: 90
Topic #: 6

[All H13-311_V3.0 Questions]

Regarding Bayesian formula: P(W|X)=P(X|W)*P(W)/P(X) What is the correct description?

AP(W|X) is the prior probability

BP(X|W) is the conditional probability

CP(W) is the posterior probability

DP(X) is the posterior probability

Show Suggested Answer

Suggested Answer: C

by Matthew at Jun 18, 2024, 08:01 PM

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Jarvis

10 months ago

Option A is the winner! The distribution law can only describe discrete random variables, not continuous ones.

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Lauran

10 months ago

Haha, they really tried to trick us with these answer choices. I thought they were all correct at first glance!

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Desmond

10 months ago

I believe option B is also incorrect because density functions can describe both discrete and continuous random variables.

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Ilda

10 months ago

I agree with Rozella, option C is the incorrect one here. Discrete random variables absolutely have a distribution function.

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Kimbery

9 months ago

I agree, option C is wrong. Discrete random variables can definitely have a distribution function.

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Ming

9 months ago

I think option C is definitely incorrect. Discrete random variables do have a distribution function.

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Sonia

10 months ago

I agree with Billy, discrete random variables do have distribution functions.

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Rozella

10 months ago

Option C is definitely wrong. Discrete random variables do have a distribution function, it's just a step function.

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Elinore

9 months ago

The density function can describe the value of continuous random variables.

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Aja

9 months ago

The distribution law can describe the law of the value of discrete random variables.

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Bobbye

9 months ago

It's just a step function.

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Merlyn

10 months ago

Discrete random variables do have a distribution function.

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Lisha

11 months ago

Hmm, I think option B is incorrect. The density function can describe both continuous and discrete random variables.

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Ahmed

10 months ago

I think option D is correct. The distribution function does describe the law of random variables.

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Kirk

10 months ago

I agree with you, option B is incorrect. The density function can describe both types of random variables.

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Launa

10 months ago

You're right, the density function can be used to describe both continuous and discrete random variables.

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Juliana

10 months ago

I think option B is definitely incorrect, the density function is not limited to only continuous random variables.

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Rosita

11 months ago

I agree with you, the density function can describe both continuous and discrete random variables.

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Billy

11 months ago

I think option C is incorrect.

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