Binomial Test Calculator

You can calculate a binomial test with a few clicks right here online, just select a categorical variable with two values and enter the probability of success.

The binomial test calculator then gives you a statement as to whether the expected frequency matches the observed frequency.

Calculate binomial test

With the help of the binomial test, you can calculate whether the frequency distribution of a sample matches that of the population or not. To check whether your result is significant or not, DATAtab gives you the p-value. If the p-value is smaller than the significance level, usually 0.05, then the frequency distribution does not match significantly.

If you have a categorical variable with more than two values, just use the Chi2 test calculator. Click here for the binomial test tutorial

Binomial Test

A binomial test is a statistical test used to determine whether the proportion of successes in a binary outcome differs significantly from a specified value or from another proportion. It is applicable when dealing with categorical data with two possible outcomes, often referred to as success and failure.

The binomial test is based on the binomial distribution, which models the probability of obtaining a specific number of successes in a fixed number of independent Bernoulli trials (experiments with two possible outcomes). The test is used to assess whether the observed proportion of successes significantly deviates from what would be expected by chance.