Hypothesis Testing (Parametric) · TOOL GUIDE

Paired T-Test

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Understand the method. Use it with confidence.

Compare means of two related/paired groups. 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 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. Set Generate Bland-Altman Plot (Optional): Set generate bland-altman plot.
  10. Set Generate Paired Bar Chart (Optional): Set generate paired bar chart.
  11. Review optional or advanced settings and keep defaults unless your design requires a change.
  12. 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.