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.
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.
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