Hypothesis Testing (Parametric) · TOOL GUIDE

One-Way ANOVA

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Understand the method. Use it with confidence.

Compare means across 3+ independent 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 Dependent Variable (Numeric) (Required): Select the numeric column whose means you want to compare.
  4. Set Grouping Variable (Categorical) (Required): Select the categorical column that defines the groups.
  5. Set Significance Level (α) (Required): The threshold for statistical significance.
  6. Set Perform Post-Hoc Test (Tukey's HSD) (Optional): If ANOVA is significant, perform pairwise comparisons to see which groups differ.
  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.