No menu items!

Bonferroni Correction Calculator


A multiple-comparison correction known as the Bonferroni correction is applied when several dependent or independent statistical tests are run concurrently (since while a given alpha value alpha may be appropriate for each individual comparison, it is not for the set of all comparisons). 

The alpha value must be decreased to reflect the amount of comparisons being made in order to prevent a large number of bogus results. The Bonferroni correction is generally obtained by dividing the level of significance by the number of comparisons made.

Given the values of level of significance and number of comparisons (n) the Bonferroni Correction Calculator below calculates the adjusted level of significance.

Adjusted α: 0.01250

Interpretation: If you conduct 4 comparisons, only reject the null hypothesis of each comparison if it has a p-value less than 0.01250.

Hey 👋

I'm currently pursuing a Ph.D. in Maths. Prior to this, I completed my master's in Maths & bachelors in Statistics.

I created this website for explaining maths and statistics concepts in the simplest possible manner.

If you've found value from reading my content, feel free to support me in even the smallest way you can.

Share this article

Recent posts

Popular categories

Recent comments