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:

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)/sigmaNow 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