T-test for comparing test and control means for several experiments

Hi,

I am trying to test the difference in means for several experiments in the same Alteryx flow. Each experiment has a test and control group indicated by a dummy variable. If Population and Value are summed to the experiment and testing group level, the data look something like:

Experiment	Group	Population	Mean_Value
1	Test	15	100
1	Control	17	199
2	Test	75	164
2	Control	36	356
3	Test	52	853
3	Control	46	235

The 'Test of Means" tool will give the t-score, etc for a the test vs control, but it doesn't have any way to group on experiment. I need to know the p-value for if the test value is significantly different than the control value for each experiment.

The only way I have figured out to do this would be to separate the data be experiment, use the Test Means tool to give the p-value, and rejoin the data. That is really cumbersome and not dynamic as I add new experiments to the bottom of the data.