Compare two groups? Find what drives an outcome? Spot a trend? The question decides the statistics — get this wrong and everything downstream is wrong too. More are in build.
That is the actual report this analysis produces — not a mock-up. Every analysis on this page delivers the same shape of output on your own data.
Every analysis classified under this question.
Should I accept this lot?
Which rows don't belong?
Do these numbers look fabricated or manipulated?
Which metrics move together?
What's in my dataset?
Is my data normal, and are there outliers?
What distribution does my data follow? Fit and compare candidate distributions with goodness-of-fit tests.
How reliable are my raters?
Standard-library analysis: when the same cases are judged twice (two reviewers, two diagnostic tests, before vs after on the same subje
How bad is my missing data and does it bias my results? Missingness patterns, MCAR checks, imputation impact.
Is the process capable of meeting spec limits.
Is my survey scale reliable?
How much variance is the measurement system itself.
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