Spearman’s Rho Table

The table contains critical values for two-tail tests. For one-tail tests, multiply α by 2.

If the calculated Spearman’s rho is greater than the critical value from the table, then reject the null hypothesis that there is no correlation.

See Spearman’s Rho for details.

6 Responses to Spearman’s Rho Table

1. ilse says:

Hi,

Your website is helping me a lot with statistics, thanks!
I have a question about the values in the table on this page. I calulated the Spearman Rank correlation for a dataset with n=9 for alpha=0.05 two-tailed. I found in your table that the critical value I need to use is 0.700. My correlation is 0.6833, which means that it is not significant.
However, I also calculated the P-value, which is 0.042. This is less than alpha, so it is significant.
So both methods results in a different conclusion. Why is that, or am I doing something wrong?

Furthermore, I found another spearman rho table (http://users.sussex.ac.uk/~grahamh/RM1web/Spearmanstable2005.pdf) which ahs different critical values than the table on this website. There I find that rho_crit = 0.683, so my correlation is significant. Why is this table different?

I hope you can explain me!
Thanks a lot.
Ilse

• Charles says:

Ilse,
I have also seen differences from one table of critical values to another. I can’t comment on the table you sent me since I don’t know how its values were calculated, but in general differences may be due to different assumptions or different simulation results
Where did the p-value = .042 come from? This value seems to be quite low compared to the .05 p-value at the critical value from the table you sent me
Charles

2. Aurélie says:

Thanks for this usefull table. However, I’m working with tables of thouthands of values. How could I find the Spearman’s Rho table for up to 70000 samples?