I have experimental results from two days where I wasnt able to keep the same conditions from day1 to day2, so I have two sets of data:
control day1 -- 2x treatment groups day1 control day2 -- 2x treatment groups day2
I intend to perform a t-test per treatment and day:
--> groupT1/day1 vs control day1
--> groupT2/day1 vs control day1
--> groupT1/day2 vs control day2
--> groupT2/day2 vs control day2
Is this the correct approach? I feel ANOVA does not make sense even though there are several group, since I want to compare each to the control.
Another issue is to compare the treatment groups against each other for both days. My idea is to do standard scaling fit to each control group (day1 and day2) and then transform the respective treatment groups based on the standard scaler.
Is this a correct approach?