Build survey tables with top-breaks, column %, absolutes, significance testing and Excel-ready outputs.
Estimate required sample sizes from confidence, margin of error and incidence assumptions.
Compute margin of error for proportions at different base sizes to sanity-check headlines.
Run colour-coded significance tests on proportions and means across multiple groups.
Profile missingness, run MCAR-style checks and review missing patterns via heatmaps.
Reduce long batteries into interpretable factors for modelling, tracking and scale simplification.
Detect AI-written text, score likelihood, and get clear rewrite guidance to humanize outputs.
Generate realistic synthetic survey rows for testing dashboards, tools, and demo workflows—fast and private.
Test association between categorical variables with effect size.
Compare group means with post‑hoc checks and assumptions.
Two-factor ANOVA with interaction plots and effect sizes.
Non‑parametric group comparison for skewed / ordinal outcomes.
Test group differences across multiple dependent variables together.
Compare groups while controlling for a continuous covariate.
Assess internal consistency + item diagnostics for cleanup.
Detect multicollinearity and flag unstable regression drivers.
Fit linear models with diagnostics, residual checks, and coefficients.