02 Valid discrete probability distribution examples

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import numpy as np
import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt
import seaborn as sns

khanacademy

basketball_df = DataFrame({'Outcome': ['Miss both free throws', 'Make exactly one free throw', 'Make both free throws'],
          'Probabilty': [0.2, 0.5, 0.1]}).set_index('Outcome')

basketball_df

	Probabilty
Outcome
Miss both free throws	0.2
Make exactly one free throw	0.5
Make both free throws	0.1

basketball_df['Probabilty'].sum() == 1

False

creatures_df = DataFrame({'Type of Earth Creature': ['Chickens', 'Cows', 'Humans'], '#': [97, 47, 77]}).set_index('Type of Earth Creature')

creatures_df

	#
Type of Earth Creature
Chickens	97
Cows	47
Humans	77

creatures_df['Estimated Probabilty'] = creatures_df['#'] / creatures_df['#'].sum()

creatures_df = creatures_df[['Estimated Probabilty']]

creatures_df

	Estimated Probabilty
Type of Earth Creature
Chickens	0.438914
Cows	0.212670
Humans	0.348416

creatures_df['Estimated Probabilty'].sum() == 1

True