Upload your data and get a complete holm-bonferroni multiple comparisons correction report. Free.
or click to browse · max 3 MB
Running holm-bonferroni multiple comparisons correction analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileRun pairwise Welch t-tests across all group pairs for each outcome, then apply Holm step-down correction across all tests simultaneously to control the family-wise error rate while maximising statistical power.
Use when comparing a numeric outcome across 3 or more groups and you need to run all pairwise comparisons while controlling the false-positive rate — common in education, clinical, and A/B testing contexts.
Do not use if you have only two groups (a single t-test suffices) or if you want to control the false discovery rate (FDR) rather than the family-wise error rate.
Dataset with 4 columns
Minimum 30 rows
Run pairwise t-tests across all parental education levels for math/reading/writing scores, then apply Holm-Bonferroni correction. Show which differences survive after controlling family-wise error rate.
Mean scores and sample sizes per parental education level — shows which groups score highest and lowest before significance testing.
Grouped mean scores across all education levels and outcomes — reveals whether the ranking of groups is consistent across math, reading, and writing.
Box plots of score distributions per group — shows within-group variability and distribution overlap that determines test power.
Full table of all 45 pairwise Welch t-tests with raw and Holm-adjusted p-values and significance decisions.
Mean score gaps for pairs that survive Holm-Bonferroni correction — highlights the largest education-level effects.
Heatmap of average adjusted p-values across all group pairs — shows which pairs are consistently significant across all three outcomes.
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
See objective
See objective
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — validated R analyses, interactive reports, AI insights, and PDF export.
Try Free — No Credit Card