NumPy Tutorial · NumPy Random

Chi Square Distribution

Learn all about Chi Square Distribution in this comprehensive tutorial.

5 min read advanced

Chi Square distribution is used as a basis to verify the hypothesis.

It has two parameters:

df - (degree of freedom).

size - The shape of the returned array.

python

from numpy import randomx = random.chisquare(df=2, size=(2, 3))print(val_1)

Visualization of Chi Square Distribution

python

from numpy import randomimport matplotlib.pyplot as pltimport seaborn as sns
sns.displot(random.chisquare(df=1, size=1000), kind="kde")plt.show()

2 questions

Which of the following is true about Chi Square Distribution?

It is strictly typedIt is evaluated at runtimeIt requires explicit memory managementIt is deprecated

What is the most common pitfall when working with Chi Square Distribution?

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.