The above graph generated are done with the help of python programming . This week does not tell to embed Google Colab Notebook ,So coding part is not done their .So I'm pasting it here.

The code is given below :

(********************************************************************************)

Whole code is their below but some of the lines are there but partially visible due to color of text . From my side it is written in bold and black .Even then it is not visible .So if you are looking into it ,please select the whole code .It will be visible well and better .

from matplotlib import pyplot as plt

import pandas as pd

df = pd.read_csv('week6-data.csv')

df.head(3)

df = df[df['Gender']=='Male']

df.head(3)

weights = df['Weight'].tolist()

plt.hist(weights, bins=20)

from numpy import mean,std

mean = mean(weights)

std = std(weights)

print("mean = ",mean,"\nS.D = ", std)

from scipy.stats import norm

distribution = norm(mean, std)

min_weight = min(weights)

max_weight = max(weights)

values = list(range(int(min_weight), int(max_weight)))

probabilities = [distribution.pdf(v) for v in values]

from matplotlib import pyplot

pyplot.hist(weights, bins=20, density=True)

pyplot.plot(values, probabilities)

plt.show()