This is an approach through which educators are able to test hypotheses: if observed successes are significantly higher than would be the case in typical schemes, this shows the success of the new program (Triola, 2018). Scholars of education may also use the binomial model in controlled experiments or A/B tests, e.g., comparing two types of mathematics tutoring programs among student populations (Tan et al., 2021). Binomial distribution is also used for: Forecasts of pass rates on standard tests