Originally Posted by

**pickslides** I think the amount of data you have is sufficient to perform a test on the data.

If the conclusion you want to draw is for 'the population of schools in California' then the good news is you seem to have the entire population data set!?

This means a test is not needed as you can simply calculate each ratio and see if they are the same. The $\displaystyle \chi^2$ test is performed when only a sample is available. Does this make sense?

If you like you can take a sample from each and perform the test. You can also consider a Wilcoxon Ranked Sign Test if you are unsure of the underlying distribution.