The Bayes factor (B) compares the probability of an experimental theory to the probability of the null hypothesis.

It gives the means of adjusting your odds in a continuous way.

- If B is greater than 1, your data support the experimental hypothesis over the null
- If B is less than 1, your data support the null over the experimental hypothesis
- If B is about 1, then your experiment was not sensitive

For more information, look at the (free) summary of 'Bayes and the probability of hypotheses' or 'Bayesian versus orthodox statistics: which side are you one?'

## Add new contribution