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I have sets of data from two sample A and B. the data in sample A and B are the average mean of the population sample. Examle, sample A has list of data. each data in he sample is a an average value of previous population. for example i have 

Sample A
user = 100   response time = 3.3
user= 200    response time =.55

the response time in the above example is the average of previous testing results. Such that the original data has 5 iteration for user 100 and the average value of the 5 iteration is taken as the sample data for sample A and sample B.

However sample A and is not normally distributed. Now should I be using man Whitney- U test or other non-parametric tests. Can i assume that the data are normal and use t-test.

Please help me

TMNT
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  • What do you want to do? You haven't told us what you want to achieve. – SmallChess May 27 '15 at 09:21
  • I want to check if there is any difference in response time between sample A and sample B – TMNT May 27 '15 at 09:45
  • My originam hypothesis is Hypothesis, H0: There is no difference of performance between Sample A and sample B with respect to load testing (response time) on live server. – TMNT May 27 '15 at 09:46

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