Statistical Design, Estimation and Reporting
Match an inferential question to its sampling design, plan uncertainty, run a suitable method and report effects, assumptions and the complete analysis family.
Who this is for
Researchers and analysts planning or reviewing a statistical comparison
Workflows
Choose a guide that matches your task.
Statistical Inference: Design, Estimation and Reporting
Plan a statistical comparison, match methods to the sampling design, report effects and uncertainty, and preserve assumptions and analysis decisions.
Dataset Exploration: Quality, Patterns and Next Questions
Explore a dataset with explicit row definitions, missingness checks, plots and paired comparisons, then preserve a reproducible findings record.
A/B Test: Binary Design, Data Checks and Decision
Plan an independent binary-outcome experiment, check assignment counts and analyze the actual 2×2 table with effect intervals and explicit decision criteria.
Tools for this topic
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7 of 7 tools shown
Plan approximate samples for an equal-allocation, two-sided comparison of independent binary conversion rates with explicit effect, significance and power.
Calculators
Compare explicit two-sided power models for one known-variance mean, two independent means or independent binary rates with continuous alpha.
Calculators
Test categorical goodness of fit or an independent 2×2 outcome table, with actual p-values, Fisher support and labeled proportion-difference intervals.
Calculators
Compare an unrounded reported p-value with prespecified alpha, without interpreting it as effect size, a confidence interval or hypothesis probability.
Calculators
Live Markdown editor with real-time HTML preview. Supports headings, bold, italic, links, code blocks, tables, and blockquotes.
Text Tools
Calculate percentages in seven modes with visible formulas, strict input validation, signed percentage change, and symmetric percentage difference.
Calculators
Calculate linear association from complete paired numeric lists, reject constant inputs and preserve the distinction between correlation and causation.
Calculators
Reusable tools
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Data Dashboard Definitions and Release
Build a dashboard around explicit decisions and metric definitions, reconcile its sources, test readable interactions and verify freshness before release.
Dataset Exploration and Quality Review
Define what each data row means, inspect missingness and distributions, compare aligned measurements and record reproducible findings and next checks.
Independent Binary A/B Experiments
Plan an independent binary comparison, audit assignment and missing outcomes, then report group differences, uncertainty and the decision context.
Landing Page Measurement and Experiments
Connect a landing page to a defined user action, verify tracking, plan a suitable experiment and interpret conversion evidence with uncertainty.
Machine Learning Training and Evaluation
Define a prediction task, preserve evaluation boundaries, build a reproducible baseline and connect measured training work to a reviewed deployment.
Web Development — Personal Portfolio Site
Get started with web development — personal portfolio site. Essential equipment, core techniques, and step-by-step guidance for complete beginners. Includes 3 step-by-step workflows.