Statistical results, interpreted

Understand the statistical result in front of you.

Use a clear reference for values, charts, output tables, model quality, and the conventions behind common thresholds.

Start with the artifact

What are you looking at?

ValuesA number or effect size

R², odds ratios, confidence intervals, reliability, and effect sizes.

Interpret a value ChartsA statistical chart

Box plots, QQ plots, residual plots, and diagnostic visuals.

Read a chart OutputA model or test table

Read the fields, assumptions, fit, and interpretation in a useful order.

Read output Model qualityA fit or error metric

Judge quality against the right comparison instead of a floating cutoff.

Judge a model AssumptionsA diagnostic or data shape

Check variance, dependence, normality, and other trust conditions.

Check an assumption

Source-aware interpretation

Not every threshold is universal.

ResultAtlas shows whether a number is a formal definition, an original convention, discipline practice, a software default, a rule of thumb, or a disputed boundary.

See how thresholds work

FormalOriginal conventionSoftware defaultRule of thumbNo universal threshold

Featured reference entries

Common results to interpret

Model quality · provenanceWhat is a good R-squared value?

Understand why a familiar metric has no universal “good” cutoff.

Chart · conventionBox plot interpretation

Read hinges, whiskers, and flagged points without assuming one definition.

Value · interpretationOdds ratio interpretation

Keep odds, probability, and risk conceptually separate.