The Binomial Effect Size Display (BESD) is a method for demonstrating the real-world effect size of a correlation. Based on the BESD, if there is a correlation of .30 between drinking alcohol and the likelihood of having a car accident, then out of 100 people who have been drinking, how many people would you expect to have an accident?

The ability of researchers to communicate statistical findings in clear and lucid format and also the ease at which readers are able to understand and interprete the communicated statistical result and information is of great and major importance in statistical data analysis. The binomial effect size display helps convey the statistical results in lucid and intuitive manner as data communication and interpretation remains a core part of the data ecosystem as it pivotal to data interpretation and evaluation.

Given a correlation Coefficient, r, value of 0.3

The expected number of people to have accident about of 100 who have been drinking will be ;

Using the relation :

Sample size * (0.5 + r / 2)

100 * (0.5 + 0.3/2)

100 * (0.5 + 0.15)

100 * (0.65)

= 65 people