Confidence Interval for a Correlation Calculator

Find the confidence interval for a correlation coefficient. Enter the correlation, the sample size and the confidence level.

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95%

Confidence interval

0.17 to 0.729
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Calculate it yourself

Find a 95% confidence interval for a correlation of 0.50 based on 30 paired observations.

Follow this worked example, then repeat the steps with your own numbers.

  1. Transform the correlation to the Fisher scale

    z = ½ ln[(1 + 0.50)/(1 − 0.50)] ≈ 0.54931.
  2. Calculate the standard error and margin

    SE = 1/√(30 − 3) ≈ 0.19245. For 95% confidence, margin = 1.96 × SE ≈ 0.37720.
  3. Find limits on the transformed scale

    Lower z ≈ 0.17210; upper z ≈ 0.92651.
  4. Transform both limits back to correlations

    r = [exp(2z) − 1] ÷ [exp(2z) + 1]. The interval is approximately 0.170 to 0.729.

Use a normal-table critical value for other confidence levels. This Fisher approximation requires n > 3 and a correlation strictly between −1 and 1.

Check your answer in the calculator

Use your PaperSurvey.io results

Use the reported correlation and paired-response count as inputs to this confidence-interval calculator.

PaperSurvey Correlation widget showing Pearson r 0.685 and a sample size of 278.
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Example from PaperSurvey.ioPearson r and n are available in the widget; calculate the confidence interval separately.

Why a correlation needs an interval

A correlation from a sample is only an estimate of the true correlation in the population. The confidence interval shows the range of values that are consistent with your data, so you can tell a precise estimate from a shaky one. Smaller samples give wider intervals.

How it is calculated

The interval is built with the Fisher r-to-z transformation, which makes the sampling distribution roughly symmetric, then the endpoints are converted back to the correlation scale. This is why the interval around r is not symmetric, especially for correlations far from zero.

Frequently asked questions

What if the interval includes zero?

If the interval spans zero, the correlation is not statistically significant at that confidence level: the data are consistent with no relationship.

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