File:Critical correlation vs. sample size.svg
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Original file (SVG file, nominally 723 × 405 pixels, file size: 20 KB)
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Summary
| Description |
English: Critical values of Pearson's correlation coefficient that must be exceeded to be considered significantly nonzero at the 0.05 level. |
| Date | |
| Source | Own work |
| Author | Muhali |
| SVG development | V This vector image was created with GNU Octave. Matlabalpha = 0.05 ;
n = 0:250 ;
rc = cor_crit(n, alpha) ;
plot(n, rc) ;
grid on ;
xlabel('sample size') ;
ylabel('critical correlation') ;
legend({'1-tailed' '2-tailed'}, 'box', 'off', 'location', 'northeast') ;
text(110, 0.9, '{\alpha = 0.05}') ;
print -dsvg cor_crit.svg
%% usage: rc = cor_crit (n, alpha)
%%
%% critical correlation values from sample size
function rc = cor_crit (n, alpha)
df = n - 2 ;
tc(1,:) = tinv(1-alpha, df) ;
tc(2,:) = tinv(1-alpha/2, df) ;
rc = tc ./ sqrt(df + tc.^2) ;
end
|
| Source code | SVG codealpha = 0.05 ;
n = 0:250 ;
rc = cor_crit(n, alpha) ;
plot(n, rc) ;
grid on ;
xlabel('sample size') ;
ylabel('critical correlation') ;
legend({'1-tailed' '2-tailed'}, 'box', 'off', 'location', 'northeast') ;
text(110, 0.9, '{\alpha = 0.05}') ;
print -dsvg cor_crit.svg
%% usage: rc = cor_crit (n, alpha)
%%
%% critical correlation values from sample size
function rc = cor_crit (n, alpha)
df = n - 2 ;
tc(1,:) = tinv(1-alpha, df) ;
tc(2,:) = tinv(1-alpha/2, df) ;
rc = tc ./ sqrt(df + tc.^2) ;
end
|
Licensing
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File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 21:43, 14 January 2024 | | 723 × 405 (20 KB) | Olexa Riznyk | Reverted to version as of 09:27, 23 July 2021 (UTC): https://svgtranslate.toolforge.org/ corrupts it |
| 21:41, 14 January 2024 |  | 723 × 405 (22 KB) | Olexa Riznyk | File uploaded using svgtranslate tool (https://svgtranslate.toolforge.org/). Added translation for uk. | |
| 09:27, 23 July 2021 |  | 723 × 405 (20 KB) | Muhali | added 1-tailed | |
| 11:17, 6 June 2018 |  | 535 × 383 (14 KB) | Muhali | User created page with UploadWizard |
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