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Statistical Test Chooser

Answer a few study-design questions to get a transparent test recommendation, a common alternative, and the reasoning path; the chooser does not analyze your data or certify assumptions.

Recommended starting point
This is a transparent decision aid, not an automatic assumption checker or a substitute for study-design expertise. Normality usually concerns model residuals/differences rather than blindly testing every raw variable, and sparse categorical tables may need exact methods.

Connected statistics workflow

v10.85 connects descriptive statistics, probability models, distributions, confidence intervals, sample-size planning, hypothesis tests, correlation/regression, rank-based methods, and counting tools without replacing the established historical engines.

Interpret statistical results in context

Use plots and descriptive summaries before formal tests. Check the sampling/design assumptions that matter for the chosen method, report effect size and uncertainty where available, and avoid treating a threshold such as p < .05 as proof of importance, causation, or truth. Browser calculations are educational/planning utilities, not domain-specific professional advice.

How to use this Statistical Test Chooser

Choose a practical statistical test from your goal, outcome type, number of groups, pairing, and assumption checks.

  1. Enter, paste, upload, or choose the inputs shown in the tool above.
  2. Adjust the available options for the result you need.
  3. Review the output before copying, downloading, or using it elsewhere.

What this tool does

Answer a few study-design questions to get a transparent test recommendation, a common alternative, and the reasoning path; the chooser does not analyze your data or certify assumptions.

Practical tips and limits

Review the inputs and result before using the output elsewhere. Keep the original data when the operation changes or replaces content.

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