I’m trying to check for run-to-run variation across a large number of tests — e.g. >1,000 tests
The data is in long format, with all test values in a single column (TestValues). Each unit has measurements across multiple runs (e.g., WW1, WW2, WW3), identified by a WW column, and we have a UnitID to track which unit it is. I want to:
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Check if there’s a statistically significant shift across runs for each test,
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And get the results in a summary table format (p-values, confidence intervals, etc.), or a formate where I can track big number of tests.
I’m using base JMP (not Pro), so I don’t have access to the Mixed Model option. What’s the best way to do this efficiently across all tests?
