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+--- Thread: How to graph a normal distribution? (/thread-17756.html)
How to graph a normal distribution? - royer14 - Apr-22-2019
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)/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
