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definition |
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Joram Soch |
BCCN Berlin |
joram.soch@bccn-berlin.de |
2021-12-13 23:23:00 -0800 |
Sample correlation coefficient |
General Theorems |
Probability theory |
Correlation |
Sample correlation coefficient |
authors |
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Wikipedia |
2021 |
Pearson correlation coefficient |
Wikipedia, the free encyclopedia |
retrieved on 2021-12-14 |
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D168 |
corr-samp |
JoramSoch |
Definition: Let $x = \left\lbrace x_1, \ldots, x_n \right\rbrace$ and $y = \left\lbrace y_1, \ldots, y_n \right\rbrace$ be samples from random variables $X$ and $Y$. Then, the sample correlation coefficient of $x$ and $y$ is given by
$$ \label{eq:corr-samp}
r_{xy} = \frac{\sum_{i=1}^n (x_i-\bar{x}) (y_i-\bar{y})}{\sqrt{\sum_{i=1}^n (x_i-\bar{x})^2} \sqrt{\sum_{i=1}^n (y_i-\bar{y})^2}}
$$
where $\bar{x}$ and $\bar{y}$ are the sample means.