I am examining data which consist of % decay of a chemical in a sample.
For 2 different treatments, I have a % decay value for days 1 upto 10,
e.g.
day 1,2,3,4, 5, 6, 7, 8, 9,10
Treatment 1 - 0,1,5,8,10,15,20,40,60,62
Treatment 2 - 0,5,6,9,10,14,21,38,55,60
These are mean % values and I have a varying number of reps for each day
and each treatment. I would not like to make any assumptions about the
distribution of the data.
I want to find out if the time vs % curves produced by this data are
significantly different between treatments. Is a Kolmogorov 2-sample test
ok for this type of data, or maybe Wilcoxons paired sample test.
Can anyone suggest any other more appropriate/powerful tests
Apologies if this is a simple one, but I am unsure whether the fact that
the data are increasing day by day is going to influence the choice of test
that is most appropriate
Thanks in advance
Alan
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