How to do significant difference analysis when we only know the average and stdev data?

[#1]

Is it possible to do significant difference when we only have the average data and stdev data on JMP? I know when we have the data from several groups of repeated experiments, it can be analysised through oneway analysis<< compare means<< each pair, student's t. 

[#2]

With scripting, all things are possible in JMP.  Using a JMP platform is probably not going to happen for you with just summary statistics on your groups.  How comfortable are you with the idea of using a script and doing the computations yourself?  How many groups are you comparing?  

If you are comparing several groups simultaneously, I'd recommend using ANOVA and Tukey's HSD.  Doing t-tests on all pairs is the classic multiple comparisons situation.  If you are unfamiliar with that, check out this Wikipedia page: https://en.wikipedia.org/wiki/Multiple_comparisons_problem.  However, these days people seem to care less about family-wise error rates. Up to you.

If you want to do the ANOVA/Tukey approach with your summary statistics, you can use this handy little calculator: http://statpages.info/anova1sm.html.  I'm sure there's a million t-test calculators out there that just take the summary statistics if you Google it.

[#3 · Accepted solution]

This will depend on the analytical technique you are calling "significant difference analysis". If you are referring to ANOVA, then there is an add-in to do this:

https://community.jmp.com/t5/JMP-Scripts/ANOVA-from-Data-Summary/ta-p/21487