Hypothesis Testing (Parametric) · TOOL GUIDE

Group Comparison Batch

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Understand the method. Use it with confidence.

Screen numeric outcomes across categorical groups with automatic test selection. Quantly runs the method against your active analysis context and returns structured results for review and interpretation.

01

When to use it

Use this tool to test a prespecified mean-based hypothesis when observations are appropriately sampled and the model assumptions are reasonable.
Use it only when the selected variables and study design match the method's requirements.

02

How to use it

  1. Open the tool from the Quantly Tools panel.
  2. Confirm the active dataset and analysis session.
  3. Set Numeric Outcomes (Optional): Numeric columns to compare. Leave blank to use all numeric columns.
  4. Set Grouping Columns (Optional): Categorical columns defining groups. Leave blank to use all categorical columns.
  5. Set Significance Level (Optional): Threshold for statistical significance.
  6. Set Maximum Sub-Tests (Optional): Maximum numeric/group combinations to run.
  7. Review optional or advanced settings and keep defaults unless your design requires a change.
  8. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

How to interpret results

Interpret the p-value against the chosen alpha level, then examine the effect estimate and confidence interval. Statistical significance is not the same as practical importance; verify assumptions and multiplicity.