04 Comparing with z-scores#

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<iframe width="700" height="400" src="https://www.youtube.com/embed/_rtQGAX5wsQ/" frameborder="0" allowfullscreen></iframe>

import numpy as np
import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt
from scipy import stats

khanacademy

Comparing with z-scores fig 1

data = {'Exam': ['LSAT', 'MCAT'], 'Score': [172, 37], 'Mean': [151, 25.1], 'Standard deviation': [10, 6.4]}

df = DataFrame(data)

df['Z-Score'] = (df['Score'] - df['Mean']) / df['Standard deviation']

df
Exam Score Mean Standard deviation Z-Score
0 LSAT 172 151.0 10.0 2.100000
1 MCAT 37 25.1 6.4 1.859375