Pharmacology
Phase 6 — Statistical Analysis & Data Interpretation
6.4 Parametric Tests: The t-Test and ANOVA
6.4.2 One-Way ANOVA Workflow in GraphPad Prism

6.4.2 One-Way ANOVA Workflow in GraphPad Prism

A standard one-way ANOVA analysis proceeds through five sequential steps.

PharmacologyPhase 6 — Statistical Analysis & Data Interpretation6.4 Parametric Tests: The t-Test and ANOVA1 min readUpdated 2026-07-13

A standard one-way ANOVA analysis proceeds through five sequential steps. First, data are entered with each experimental group in its own column and each row representing an individual animal's value, with results conventionally reported as mean ± standard error of the mean (SEM). Second, normality is tested using Column Statistics → Shapiro-Wilk normality test, with a resulting p-value greater than 0.05 taken as consistent with a normal distribution. Third, equality of variance is tested using Bartlett's test, again with p greater than 0.05 taken as evidence of equal variance across groups. Fourth, the ANOVA itself is run, with the appropriate post-hoc comparison selected — Tukey's test when comparing every group against every other group, or Dunnett's test when comparing each treatment only against a single control group. Fifth, results are interpreted through the F-statistic and its associated p-value, together with the adjusted p-values generated by the chosen post-hoc test, conventionally denoted using asterisk notation (for example, single, double, and triple asterisks representing progressively smaller p-value thresholds) on the resulting graph.

Related Topics