Sorry if this is awkwardly worded...I'm not sure how else to describe my question.

I have 4 "experiments" containing 3 "duplicates" with 28 "runs" in each. Each run is a time series of 300 seconds. I need to compare experiments to each other to determine if there is a statistically significant difference in the experiments. Eg, I'd want to do an ANOVA process on the experiments with pairwise t-tests following.

Since my data is time series only on the run level and I'm comparing on the experiment level, do I need to be concerned about/correct for autocorrelation? If so, what's the best way to go about doing that?

Not sure if it matters/helps, I have about 100 variables but I need the comparison to be for each individual variable so this is functionally a univariate comparison.

put on hold as unclear what you're asking by kjetil b halvorsen, user158565, Carl, mdewey, jbowman 17 hours ago

Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

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    You need to give more details for this to be answerable. Maybe show your data, or part of it, and tell us (without stats terminology) what is the research question you want answered. – kjetil b halvorsen 2 days ago
  • 3 "replicates" BTW, you need to select parameters that need testing. – Carl yesterday