Normal Distributions Questions and Answers for Interviews

In order to be successful in normal distribution interviews, you need a solid understanding of the normal distribution. This blog post will focus on normal distribution questions and answers that are commonly asked in the data science and statistics interviews. Before jumping into questions and answers, lets quickly understand what normal distribution is.

What is normal distribution?

A normal distribution is a symmetric, bell-shaped curve that describes the distribution of many types of data. The normal distribution has two parameters, mean and standard deviation. It is important to know these two parameters because they are used to calculate probabilities associated with the normal distribution.

The normal curve describes how data are distributed in a population. It has the following features: it’s continuous, symmetrical, unimodal and bell-shaped. We make extensive use of normal distributions without even realizing it. When grading grades for pupils or IQ scores for individuals on intelligence tests, they are frequently observed. The normal distribution can be used to represent a wide range of data, such as test scores, height measurements, and weights of people in a population.

You may want to check my related post titled Normal distribution explained with Python example.

Here is a sample diagram representing different aspects of normal distribution:

Here is a sample diagram representing normal distributions with different means and standard deviations:

Here is the diagram representing standard normal distribution (Z-distribution):

Here is a diagram representing how to convert an observation value as Z-score in standard normal distribution:

Normal distribution questions and answers

Here are some sample questions and answers on normal distribution you can use to test your understanding: