Why analysts choose Statistico
Instead of isolated statistical outputs, Statistico keeps every stage of Paired / Repeated Means connected — without leaving the analytical workflow.
From paired observations to statistical reasoning — this is Interactive Statistical Computing, not a sequence of static outputs.
What the module provides
One design. Connected within-subject views.
Click a stage to inspect it — each view stays inside the same paired or repeated design, so there's no re-running the analysis to move between them.
paired-repeated-explore.webpExplore
Keep paired observations together while reviewing descriptives and distribution cues.
paired-repeated-assumptions.webpAssumptions
Check diagnostics so the selected within-subject method is defensible.
paired-repeated-results.webpResults
Review the primary within-subject result alongside supporting detail.
paired-repeated-trajectories.webpTrajectories
Visualize change across occasions for repeated-measures variants.
paired-repeated-effects.webpEffect Sizes
Report practical magnitude for paired or repeated designs.
paired-repeated-ai.webpAI Interpretation
Plain-language summary of change and next checks — see the caution below.
Trajectories are part of the inferential workflow
Trajectory views stay linked to the same paired cases, so pattern of change informs the result rather than living in a separate charting tool.
paired-repeated-trajectories.webpAssess change, magnitude, and power together
Results, effect sizes, and power sit alongside assumptions so within-subject inference is never reduced to a single p-value.
Move from within-subject results to a complete report
The APA-ready report draws on the same assumptions, effects, and power checks already in the workspace.
Interpretation within the analytical workflow
Statistico's AI-assisted assessment summarizes within-subject change, effect size, and assumption flags from the same output already in the workspace.
Built for analysts who already know the method
Excel remains the working data environment.
Statistical outputs remain visible and inspectable.
Interaction supports analysis rather than hiding it.