![]() ![]() Example: Calculating a Confidence Interval for Correlation Coefficient ![]() The following example shows how to calculate a confidence interval for a Pearson correlation coefficient in practice. Without performing this Fisher Z transformation, we would be unable to calculate a reliable confidence interval for the Pearson correlation coefficient. ![]() This is important because it allows us to calculate a confidence interval for a Pearson correlation coefficient. It turns out that the sampling distribution of this transformed variable follows a normal distribution. The Fisher Z transformation is a formula we can use to transform Pearson’s correlation coefficient (r) into a value (z r) that can be used to calculate a confidence interval for Pearson’s correlation coefficient.įor example, if the Pearson correlation coefficient between two variables is found to be r = 0.55, then we would calculate z r to be: ![]()
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May 2023
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