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Machine Learning (Hypothesis Testing) Interview Questions

This page represents a list of questions which can be used for preparation of machine learning interviews. The following are some of the areas covered in this set of questions:

Null Hypothesis; Another page which explains the concept in decent manner is Null Hypothesis definition and examples, how to state.
P-value; In simple words, p-value represents likelihood (in terms of probability) of sample results occurring if the null hypothesis is assumed to be true. For example, a p-value of 0.03 would mean that given the null hypothesis is true, the probability that results occur in the sample is 0.03 which is very less. Thus, the alternate hypothesis can be true. Thus, one can reject the null hypothesis.
One-tailed vs Two-tailed tests; This is another page on one and two-tailed tests

Null hypothesis is a general statement that there is a relationship between two measured phenonmenon?

True

False

Correct! Wrong!

The hypothesis that chance or random processes alone are responsible for the results is called as _______ hypothesis?

Null

Alternate

Correct! Wrong!

Rejecting null hypothesis implies that there is an association between two measured entities?

True

False

Correct! Wrong!

If the data collected as a result of random sampling process does provide strong evidence against null hypothesis, then the null hypothesis is rejected.

True

False

Correct! Wrong!

If the test scores differ based on the gender group such as male or female or other parameters included in the tests, then the null hypothesis can be rejected.

True

False

Correct! Wrong!

If the data observed in the sample test is highly unlikely to occur, then the null hypothesis is ________?

Rejected

Not rejected

Correct! Wrong!

Given two samples taken from the same population, a stronger null hypothesis would mean _______?

Mean and variations of distribution are equal

Mean and variations of distribution are not equal

Correct! Wrong!

P-value less than ________ would mean that null hypothesis can be rejected.

0.01

0.03

0.05

0.1

Correct! Wrong!

In case the estimated value is more than or less than the reference value, which of the following test is appropriate?

One-tailed test

Two-tailed tests

Correct! Wrong!

Machine Learning Hypothesis Testing

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Better luck next time!!

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog, Revive-n-Thrive.com

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Professor says:

September 29, 2021 at 12:07 pm

I don’t agree with number 5. Having a different test score doesn’t necessarily mean the null can be rejected. It depends on the magnitude of the difference, as well as standard error. A small difference can be due to random noise.

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Machine Learning (Hypothesis Testing) Interview Questions

Null hypothesis is a general statement that there is a relationship between two measured phenonmenon?

The hypothesis that chance or random processes alone are responsible for the results is called as _______ hypothesis?

Rejecting null hypothesis implies that there is an association between two measured entities?

If the data collected as a result of random sampling process does provide strong evidence against null hypothesis, then the null hypothesis is rejected.

If the test scores differ based on the gender group such as male or female or other parameters included in the tests, then the null hypothesis can be rejected.

If the data observed in the sample test is highly unlikely to occur, then the null hypothesis is ________?

Given two samples taken from the same population, a stronger null hypothesis would mean _______?

P-value less than ________ would mean that null hypothesis can be rejected.

In case the estimated value is more than or less than the reference value, which of the following test is appropriate?

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