Hypothesis Testing (Non-Parametric) · TOOL GUIDE

Wilcoxon Signed-Rank Test

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Understand the method. Use it with confidence.

Compare two paired groups (Non-parametric Paired T-Test). 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 for rank-, count-, or distribution-based comparisons when parametric assumptions are unsuitable or variables are categorical/ordinal.
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 Variable 1 (e.g., Before) (Required): Select the first numeric variable for the paired test.
  4. Set Variable 2 (e.g., After) (Required): Select the second numeric variable for the paired test.
  5. Set Alternative Hypothesis (Required): Specifies the alternative hypothesis.
  6. Set Significance Level (α) (Required): The threshold for statistical significance.
  7. Set Generate Paired Lines Plot (Slope Graph) (Optional): Set generate paired lines plot (slope graph).
  8. Set Generate Difference Plot (Optional): Set generate difference plot.
  9. Review optional or advanced settings and keep defaults unless your design requires a change.
  10. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

How to interpret results

Interpret the test statistic and p-value with an effect-size measure where available. A significant result indicates evidence of a difference or association, not its practical size or causal direction.