Brown–Forsythe test calculator
Paste equally defined independent groups; optional fields may stay empty.
Group dispersion
Compare group dispersion.
Group summary
| Group | n | Center | Variance / deviation |
|---|---|---|---|
| Fill in the fields above — the result is computed on this page. | |||
How do I use this page?
- Paste groups.
- Read the statistic and p-value.
What this page does not do: Bartlett is sensitive to non-normality; Levene and Brown–Forsythe are generally more robust.
Further reading
Theory — how does the Brown–Forsythe test work?
The calculator takes several independent groups defined in the same way, with optional fields that may be left empty. The Brown–Forsythe test compares absolute deviations of observations from each group's centre using an F statistic, which makes it robust to departures from normality. It is a practical, robust choice for checking equality of variances, while the Bartlett test works better when the data are approximately normal.
Frequently asked questions
Which test should I use?
See also
A/B test calculator
Compare two proportions in an A/B test. Calculate conversion rates, difference, uplift, z score, p value and c
A/B test planning — sample size, MDE and duration
Plan a two-proportion experiment, estimate detectable effect and traffic duration.
ACF and PACF autocorrelation calculator
Calculate ACF and PACF across time-series lags. Review the chart, reference bounds and coefficient table.