Question

Write a python program to generate a PDF of a normally distributed function with the range from 10 to 45 with a standard deviation of 2

This is what I have currently:

mu=() # mean
sigma=2 # standard deviation
x=np.arange(10,45,0.1)
y=stats.norm.pdf(x, x.mean(), sigma)
plt.plot(x,y)
plt.show()

If I am incorrect, please explain what I am doing wrong and why (so I am able to understand for future problems). Thank you!

Answer 1

In [4]: import numpy as np import matplotlib.pyplot as plt from scipy.stats import norm mu() # mean sigma=2 # standard deviation x=np.arange(10,45,0.1) y= norm.pdf (x, x.mean(), sigma) plt.plot(x,y) plt.show() 0.200 0.175 0.150 0.125 0.100 0.075 0.050 0.025 0.0001 10 15 20 25 30 35 40 45

You are actually doing this correct. only problem was the libraries were not import and instaed of stats.norm use only norm since from scipy.stats we imported norm