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 How to graph a normal distribution? royer14 Silly Frenchman Posts: 21 Threads: 9 Joined: Nov 2017 Reputation: -1 Likes received: 0 #1 Apr-22-2019, 09:16 PM Hello, if I have a problem in the following way: x: 20 mu: 17 sigma: 1.1 well before graphing you need to get the Z-score, so I apply the following: `z = (x - mu)/sigma`Now I can just use z in a normal distribution, but here my big problem, as I generate values for the graph. ```import matplotlib.pyplot as plt import numpy as np import scipy.stats as stats import math mu = 8 sigma = 2 # here x must be z x = np.linspace(mu - 3*sigma, mu + 3*sigma, 10) #---------------------------- print(np.linspace(mu - 3*sigma, mu + 3*sigma, 10)) plt.plot(x, stats.norm.pdf(x, mu, sigma)) plt.show()```good in this code x is generated but my doubt is that it replaced x by z and that at the same time I must generate the graph of said variable « Next Oldest | Next Newest »

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