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From Boniface(1995) a Pearson correlation, r, from N pairs of observations can be tested using a t distribution on N-2 degrees of freedom and a test statistic equal to From Boniface (1995) a Pearson correlation, r, from N pairs of observations can be tested using a t distribution on N-2 degrees of freedom and a test statistic equal to
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Equivalently the square of ths test statistic may be compared to a F distribution having 1, N-2 degrees of freedom. Equivalently the square of this test statistic may be compared to a F distribution having 1, N-2 degrees of freedom.

How many degrees of freedom do I use to test the magnitude of a Pearson correlation?

From Boniface (1995) a Pearson correlation, r, from N pairs of observations can be tested using a t distribution on N-2 degrees of freedom and a test statistic equal to

$$r sqrt{\frac{N-2}{1-r^text{2}}}$$.

Equivalently the square of this test statistic may be compared to a F distribution having 1, N-2 degrees of freedom.

Reference

Boniface DR (1995) Experiment design and statistical methods for behavioural and social research. Chapman and Hall:London.

None: FAQ/rdf (last edited 2013-10-10 16:19:18 by PeterWatson)