By Team Hypomnema · Data
Compare numeric outcomes with confidence intervals and effect sizes.
Use the guide alongside the working tool.
Open Group Comparison Analyzer →Explicit working sample
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B,18Compare numeric outcomes with confidence intervals and effect sizes. Two independent groups only. Welch t test with Student t distribution, Welch degrees of freedom and 95% confidence interval for the mean difference. Hedges g uses pooled standard deviation and small-sample correction. Requires at least 2 observations/group; paired, clustered or repeated measurements violate assumptions. Not a binary conversion A/B test.
Prepare the input
Compare numeric outcomes with confidence intervals and effect sizes.
CSV, TSV and arrays of scalar JSON objects are supported. Identifiers stay text. Empty cells are missing by default; add special missing tokens only if their meaning is certain. Use the sample to inspect the exact workflow.
Review the method
Two independent groups only. Welch t test with Student t distribution, Welch degrees of freedom and 95% confidence interval for the mean difference. Hedges g uses pooled standard deviation and small-sample correction. Requires at least 2 observations/group; paired, clustered or repeated measurements violate assumptions. Not a binary conversion A/B test.
Keep the useful output
Review the summary and result records. Transformation tools retain separate change, rejected-record or diagnostics datasets where relevant. Choose the dataset before exporting; a report and a cleaned dataset serve different purposes.
CSV exports protect formula-like text. JSON keeps data portable without making an Excel workbook. Reports and editable backups may contain private source values; download only what you intend to share. No automatic account storage or server processing is used.
Ready to apply this workflow?
Try Group Comparison Analyzer →Explore a related workflow
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Keep your original files and review the result. Found unclear instructions? Contact Team Hypomnema.