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A week ago
(114 views)

I'm new to JMP, and trying to determine which test is appropriate for my study. I have matched biological measurements at two time points (before and after a meal) for 25 individual donors. Each donor has a single data point per time point. The population has a large standard deviation for most of these measurements, and usually the results do not have a normal distribution. Some observations have a few outliers. I have attached a sample graph depicting my data.

Is it appropriate to analyze the data with a simple t-test or Wilcoxon test via the Fit Y by X menu? Or should I perform the analysis using the **Specialized Modeling > Matched Pairs ****> Wilcoxon Signed Rank** approach? The main question in this study is whether or not the biological measurement (ie, yield) changes after eating a meal. I'm not particularly interested in donor-specific responses, more the trend of the population as a whole. Any advice on which test to use, and how to execute that test in JMP, would be greatly appreciated!

Thanks,

Jen

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