Simulating central limit theorem
Now that we have some practice creating a sample, we'll look at simulating the central limit theorem, similar to what you saw in the slides. We'll also continue dealing with a standard die numbered 1 through 6.
In order to do this, you'll take a collection of sample means from numpy and examine the distribution of them using the matplotlib package, which has been imported as plt for the rest of the chapter.
Cet exercice fait partie du cours
Practicing Statistics Interview Questions in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
from numpy.random import randint
# Create a list of 1000 sample means of size 30
means = [randint(____, ____, ____).mean() for i in ____]