# 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

Table of Contents

## 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.

 

 #1. Estimating population mean with 95% confidence interval given a sample size of 10 would mean the value of T-score to be _______ 3.25 3.25 2.821 2.821 2.262 2.262 #2. Standard error is the ___________ of the ___________ in the sampling distribution? Standard deviation, sample mean Standard deviation, sample mean Standard deviation, population mean Standard deviation, population mean #3. Z-score is used when _________ standard deviation is known? Population Population Sample Sample #4. Z-statistics can be used to estimate ________ proportion? Sample Sample Population Population #5. Z-test can be used to perform hypothesis testing related to sample ________? Both of the above Both of the above Proportion Proportion None of the above None of the above Mean Mean #6. Z-test can be used for __________? Two-tailed test Two-tailed test One-tailed test One-tailed test Both of the above Both of the above None of the above None of the above #7. _______ will be used for estimating population mean for sample size greater than 30 Z-distribution Z-distribution T-distribution T-distribution #8. Z-statistics can be used to estimate ________ mean? Population Population Sample Sample #9. Estimating population mean with 95% confidence interval given a sample size of 10 would mean the value of T-score to be _______ 3.25 3.25 2.262 2.262 2.821 2.821 #10. _______ can be used for hypothesis testing when the sample size is larger than 30 F-statistics F-statistics T-statistics T-statistics Z-statistics Z-statistics #11. Standard error is _________ divided by the square root of ________? None of the above None of the above Can be both Can be both Population standard deviation, sample size Population standard deviation, sample size Sample standard deviation, sample size Sample standard deviation, sample size #12. ______ is used when population standard deviation is unknown and the sample size is small? T-score T-score Z-score Z-score #13. Z-score is used when _________ standard deviation is known? Sample Sample Population Population #14. 1-sample Z-test can be used to perform hypothesis testing for ________? Mean Mean Both of the above Both of the above Proportion Proportion None of the above None of the above #15. _______ can be used for hypothesis testing when the sample size is larger than 30 F-statistics F-statistics Z-statistics Z-statistics T-statistics T-statistics #16. Z-test can be used to perform hypothesis testing related to sample ________? None of the above None of the above Proportion Proportion Both of the above Both of the above Mean Mean #17. _______ will be used for estimating population mean for sample size lesser than 30 T-distribution T-distribution Z-distribution Z-distribution #18. _______ will be used for estimating population mean for sample size lesser than 30 T-distribution T-distribution Z-distribution Z-distribution #19. Z-score is used when _________ standard deviation is known? Population Population Sample Sample #20. Margin of error can be defined as the function of ________ T-statistics T-statistics None of the above None of the above Both Both Z-statistics Z-statistics #21. Z-statistics can be used to estimate ________ mean? Population Population Sample Sample #22. Estimating population mean with 95% confidence interval would mean the value of Z-score to be _______ 2.576 2.576 1.96 1.96 1.645 1.645 #23. 2-sample Z-test can be used to perform hypothesis testing for ________? Mean Mean None of the above None of the above Proportion Proportion Both of the above Both of the above #24. Z-test can be used for __________? One-tailed test One-tailed test Two-tailed test Two-tailed test None of the above None of the above Both of the above Both of the above #25. 2-sample Z-test can be used to perform hypothesis testing for ________? Both of the above Both of the above Mean Mean None of the above None of the above Proportion Proportion #26. Standard error is _________ divided by the square root of ________? Can be both Can be both None of the above None of the above Population standard deviation, sample size Population standard deviation, sample size Sample standard deviation, sample size Sample standard deviation, sample size #27. Standard error is the ___________ of the ___________ in the sampling distribution? Standard deviation, sample mean Standard deviation, sample mean Standard deviation, population mean Standard deviation, population mean #28. Standard error is _________ divided by the square root of ________? Sample standard deviation, sample size Sample standard deviation, sample size Can be both Can be both None of the above None of the above Population standard deviation, sample size Population standard deviation, sample size #29. _______ will be used for estimating population mean for sample size greater than 30 Z-distribution Z-distribution T-distribution T-distribution #30. Z-statistics can be used to estimate ________ proportion? Sample Sample Population Population #31. Standard error is the ___________ of the ___________ in the sampling distribution? Standard deviation, population mean Standard deviation, population mean Standard deviation, sample mean Standard deviation, sample mean #32. ______ is used when population standard deviation is unknown and the sample size is small? Z-score Z-score T-score T-score #33. Margin of error can be defined as the function of ________ None of the above None of the above Both Both Z-statistics Z-statistics T-statistics T-statistics #34. 1-sample Z-test can be used to perform hypothesis testing for ________? None of the above None of the above Proportion Proportion Both of the above Both of the above Mean Mean #35. Estimating population mean with 95% confidence interval would mean the value of Z-score to be _______ 1.645 1.645 2.576 2.576 1.96 1.96 #36. Margin of error can be defined as the function of ________ Both Both Z-statistics Z-statistics T-statistics T-statistics None of the above None of the above Finish Results Congratulations! You passed the test! Author Recent Posts Follow meAjitesh KumarI 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 Follow meLatest posts by Ajitesh Kumar (see all) Generative Modeling in Machine Learning: Examples - March 19, 2023 Data Analytics Training Program (Beginners) - March 18, 2023 Histogram Plots using Matplotlib & Pandas: Python - March 18, 2023 You may try again! Author Recent Posts Follow me 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 Follow me Latest posts by Ajitesh Kumar (see all) Generative Modeling in Machine Learning: Examples - March 19, 2023 Data Analytics Training Program (Beginners) - March 18, 2023 Histogram Plots using Matplotlib & Pandas: Python - March 18, 2023 
 

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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. 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
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