File:Chi-square distributionCDF.svg

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Description
English: Plot of the cumulative chi-square distribution for values of k = {1, 2, 3, 4, 5}.
Date
Source Own work
Author Jona
SVG development
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Source code
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Python code

import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import chi2

col = {1: 'black', 2: 'blue', 3: 'green', 4: 'red', 5: 'purple'}

X = np.arange(0, 8, 0.01)

##                                                                              
## PDF                                                                          
##                                                                              

plt.clf()
plt.figure(figsize=(4,3.2))
plt.axes([0.15,0.13,0.79,0.8])
plt.hold(True)

A = []
for k in col.keys():
    plt.plot(X, chi2.pdf(X, k), '-', color=col[k], label="k="+str(k))

plt.xlabel("x")
plt.ylabel("P(x)")

bx = plt.legend(numpoints=1, handletextpad=0.5, loc="upper right")
bx.draw_frame(False)
plt.xlim(0,8)
plt.ylim(0,1)

plt.savefig("chi-square_pdf.svg")

##                                                                              
## CDF                                                                          
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plt.clf()
plt.figure(figsize=(4,3.2))
plt.axes([0.15,0.13,0.79,0.8])
plt.hold(True)

A = []
for k in col.keys():
    a = plt.plot(X, chi2.cdf(X, k), '-', color=col[k], label="k="+str(k))
    A.append(a)

plt.xlabel("x")
plt.ylabel(u"P(X\N{Less-THAN OR EQUAL TO}x)")

bx = plt.legend(numpoints=1, handletextpad=0.5, loc="lower right")
bx.draw_frame(False)
plt.xlim(0,8)
plt.ylim(0,1)

plt.savefig("chi-square_cdf.svg")

Licensing edit

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
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This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

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Date/TimeThumbnailDimensionsUserComment
current21:25, 20 November 2018Thumbnail for version as of 21:25, 20 November 2018360 × 288 (24 KB)Jona (talk | contribs)User created page with UploadWizard

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