You can only check two sets of data against each other at a time. You need to have a parameter in mind, are the data sets matched (would a point on one data set correspond to a point on another set)? You might want to check the data, to see if it's normally distributed, it doesn't need to be perfect or even remotely symmetric, just so long as it's single peaked and doesn't have any outliers. For a matched pairs T-Test you find T using the formula: /( / ) where is the mean difference between the sets. You would have 1499 degrees of freedom, I don't think there are any tables that can precisely match your t-value to a precise p value when you have that many degrees of freedom. If unmatched you want a two sample T-test, to calculate T: ( 1- 2)/squarerootof(s1/n1 + s2/n2) where s1 and s2 are the standard deviations of the data sets. I can explain the rest when I know if the data sets are matched.