Multi-Group Statistical Significance & Error Bar Calculator
Analyze data across a Control Group and Experimental Groups (up to Groups A–E). Perform One-Way ANOVA, Tukey's HSD Post-Hoc comparisons, test parametric assumptions, detect outliers, import/export CSV summaries, and generate high-resolution bar charts with customizable error bars.
1. Enter Experimental Trials Data
Enter numeric values separated by commas, spaces, or newlines. Add or remove experimental groups dynamically (up to 5 experimental inputs: A-E) or import from CSV.
2. Group Descriptive Statistics
| Metric |
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3. Statistical Assumptions & Diagnostic Checks
Evaluation of parametric assumptions prior to inferential testing:
| Diagnostic Test | Target Scope | Test Metric | Verdict / Recommendation |
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4. Global One-Way ANOVA
Determines whether any statistically significant differences exist across all groups combined ($\alpha = 0.05$):
| Source of Variation | Sum of Squares ($SS$) | Degrees of Freedom ($df$) | Mean Square ($MS$) | $F$-Statistic | $p$-value Approx. | ANOVA Verdict |
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5. Post-Hoc Comparisons
Pairwise analysis vs. Control ($t$-Test) and Tukey's Honest Significant Difference (HSD) across all group pairs ($\alpha = 0.05$):
| Comparison Pair | Mean Difference | $t$-Statistic | Tukey $q$-Statistic | Significance Verdict |
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