correlation coefficient test

If population distribution is not normal, testing correlation coefficient {correlation coefficient test} can show if two event sets relate. Hypothesize that correlation coefficient is zero. Choose significance level. Degrees of freedom are sample size minus two for the two events. Convert correlation coefficient to t value: t = r * (N - 2)^0.5 / (1 - r^2)^0.5, where r is correlation coefficient and N is number of individuals. If t value is less than t-distribution value at that significance level and degrees of freedom, do not reject hypothesis.

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Date Modified: 2022.0224