IB Maths AI SL 4.8 – Binomial Distribution Notes

IB Maths AI SL 4.8 Notes – Binomial Distribution

This IB Maths AI SL 4.8 resource covers the Binomial Distribution and is fully aligned with the IB Applications and Interpretation syllabus

Students learn the conditions for a binomial model (BIN: binary outcomes, independent trials, fixed number of trials, constant probability), use notation ( X ~ B(n, p) ), and apply the binomial probability formula to calculate exact probabilities. The resource also develops understanding of the mean, variance, and standard deviation of a binomial distribution using ( \mu = np ) and ( {Var}(X) = np(1-p) ).

Structured examples and exam-style practice questions (including free throws and durability testing scenarios) help students apply the model confidently in context.

The file includes guided student notes designed to build strong conceptual understanding and exam-ready skills for Topic 4 statistics.