PearsonRResult.confidence_interval(self, confidence_level=0.95)
Compute the confidence interval for the correlation coefficient statistic
with the given confidence level.
The confidence interval is computed using the Fisher transformation F(r) = arctanh(r) . When the sample pairs are drawn from a bivariate normal distribution, F(r) approximately follows a normal distribution with standard error 1/sqrt(n - 3)
, where n
is the length of the original samples along the calculation axis. When n <= 3
, this approximation does not yield a finite, real standard error, so we define the confidence interval to be -1 to 1.
The confidence level for the calculation of the correlation coefficient confidence interval. Default is 0.95.
The confidence interval is returned in a namedtuple
with fields low and high.
The confidence interval for the correlation coefficient.
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