Z-test MCQs with Answers: Interview Questions

In this blog post, you can test your knowledge about Z-test, Z-statistics and related concepts through multiple choice questions (MCQs) and answers. Getting a good understanding of Z-tests, Z-statistics and Z-distribution is of utmost importance for data scientists at large. The following are key concepts around which the MCQs are posted:

Z-score or Z-statistics concepts
Estimation of population mean and proportion
1-sample Z-test for mean and proportion
2-samples Z-test for mean and proportion

Z-test Interview Questions Samples

The following is a list of interview questions that you would want to learn:

What is Z-score? Explain with an example and formula.
What are different types of Z-tests? Explain with formula and examples.
What is difference between 1-sample and 2-samples Z-test for means? Explain with one example each and formula.
What is difference between 1-sample and 2-samples Z-test for proportions? Explain with one example each and formula.
How do you estimate population mean at 95% confidence interval as a function of Z-score?
How do you estimate population proportion at 95% confidence interval as a function of Z-score?
What is standard error? How is it related to margin of error?
When to use Z-test and when to use T-test?
What is sampling distribution and how is it related to Z-test and Z-statistics?
What is Z-distribution? How is this different from T-distribution?
What is standard score?
How can Z-score be used to compare marks of two students in different classes?

Z-test MCQs Quiz: Questions & Answers

The following is a list of questions and answers aimed to test your knowledge of different types of Z-tests, Z-statistics, hypothesis testing etc.

QUIZ START

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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. 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.

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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. 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.