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The CLT in action

The central limit theorem states that a sampling distribution of a sample statistic approaches the normal distribution as you take more samples, no matter the original distribution being sampled from.

In this exercise, you'll focus on the sample mean and see the central limit theorem in action while examining the num_users column of amir_deals more closely, which contains the number of people who intend to use the product Amir is selling.

pandas as pd, numpy as np, and matplotlib.pyplot as plt are loaded and amir_deals is available.

This exercise is part of the course

Introduction to Statistics in Python

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create a histogram of num_users and show
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Edit and Run Code