File:Correlation significance.svg

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Summary

Description
English: Plot showing the minimum value of Pearson's sample correlation coefficient that would be significant at the 0.05 level for a given sample size.
Date
Source Own work
Author Skbkekas
SVG development
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This plot was created with Matplotlib.
Source code
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Python code

import numpy as np
import matplotlib.pyplot as plt

N = np.arange(10,250,1)
Z = 1.96/np.sqrt(N-3)
R = (np.exp(2*Z)-1)/(np.exp(2*Z)+1)

plt.clf()
plt.figure(figsize=(4,3.4))
plt.axes([0.15,0.15,0.8,0.8])
plt.grid(True)
plt.plot(N, R, '-', color='orange', lw=3)
plt.xlabel("Sample size", size=18)
plt.ylabel("Pearson correlation", size=18)
plt.savefig("correlation_significance.pdf")
plt.savefig("correlation_significance.svg")

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 3.0 Unported 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.

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15 February 2010

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463f124f9f40ef99672c2919a90f3dd048b1e1c6

35,441 byte

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360 pixel

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current17:48, 15 February 2010Thumbnail for version as of 17:48, 15 February 2010360 × 305 (35 KB)wikimediacommons>Skbkekas{{Information |Description={{en|1=Plot showing the minimum value of Pearson's sample correlation coefficient that would be significant at the 0.05 level for a given sample size.}} |Source={{own}} |Author=Skbkekas |Date=2010-02-15 |Permis

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