Data Science

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.

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.

Recent Posts

Coefficient of Variation in Regression Modelling: Example

When building a regression model or performing regression analysis to predict a target variable, understanding…

3 days ago

Chunking Strategies for RAG with Examples

If you've built a "Naive" RAG pipeline, you've probably hit a wall. You've indexed your…

2 weeks ago

RAG Pipeline: 6 Steps for Creating Naive RAG App

If you're starting with large language models, you must have heard of RAG (Retrieval-Augmented Generation).…

2 weeks ago

Python: List Comprehension Explained with Examples

If you've spent any time with Python, you've likely heard the term "Pythonic." It refers…

2 weeks ago

Large Language Models (LLMs): Four Critical Modeling Stages

Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and…

3 months ago

Agentic Workflow Design Patterns Explained with Examples

As Large Language Models (LLMs) evolve into autonomous agents, understanding agentic workflow design patterns has…

3 months ago