Cynthia's right, the JMP forum will get you more directly to the "how to" part of your answer.
Statistically, "range of variation" can mean different things. If you are saying "variance" (e.g. assuming a normal distribution in each group), then the "Folded-F" test that usually is part of a t-test output will give it to you. This test is sensitive to non-normality.
If your data are not normally distributed, then you are likely to end up with some sort of bootstrap procedure to compare percentiles of the distributions.
Thank you so much your kind explanation. The importance of normal distribution makes sense in this comparison. Would you please give me some comment on the situation that if one group shows normal distribution while the other group does not show normal distribution. What could be the consequence of the analysis either by the Folded F-test or bootstrap procedure? Is there any preference or other option available?