Codecademy Learn Statistics With Python Standard Deviation Exercise 4/5

# Sample Solution when height = 80 inches
import numpy as np
from data import nba_data, okcupid_data

nba_mean = np.mean(nba_data)
okcupid_mean = np.mean(okcupid_data)

nba_standard_deviation = np.std(nba_data)
okcupid_standard_deviation = np.std(okcupid_data)

#Step 1: Calcualte the difference between the player's height and the means
nba_difference = 80 - nba_mean
okcupid_difference = 80 - okcupid_mean

#Step 2: Use the difference between the point and the mean to find how many standard deviations the player is away from the mean.

num_nba_deviations = nba_difference / nba_standard_deviation
num_okcupid_deviations = okcupid_difference / okcupid_standard_deviation


#IGNORE CODE BELOW HERE
print("Your basketball player is " + str(num_nba_deviations) + " standard deviations away from the mean of NBA player heights\n")
print("Your basketball player is " + str(num_okcupid_deviations) + " standard deviations away from the mean of OkCupid profile heights")
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# Sample Solution when height = 65 inches
import numpy as np
from data import nba_data, okcupid_data

nba_mean = np.mean(nba_data)
okcupid_mean = np.mean(okcupid_data)

nba_standard_deviation = np.std(nba_data)
okcupid_standard_deviation = np.std(okcupid_data)

#Step 1: Calcualte the difference between the player's height and the means
nba_difference = 65 - nba_mean
okcupid_difference = 65 - okcupid_mean

#Step 2: Use the difference between the point and the mean to find how many standard deviations the player is away from the mean.

num_nba_deviations = nba_difference / nba_standard_deviation
num_okcupid_deviations = okcupid_difference / okcupid_standard_deviation


#IGNORE CODE BELOW HERE
print("Your basketball player is " + str(num_nba_deviations) + " standard deviations away from the mean of NBA player heights\n")
print("Your basketball player is " + str(num_okcupid_deviations) + " standard deviations away from the mean of OkCupid profile heights")