Teach students to model discrete outcomes and use probability distributions to reason about uncertainty. This lesson develops the key ideas step by step, from checking that probabilities sum to 1 and ...

Statistical convergence of random variables provides a rigorous framework to describe how sequences of random quantities approach limiting behaviour in probability, in distribution and in more refined ...

If we plot the probability (density) function (PDF) on a graph with vertical axis as probability and horizontal axis as value of X, then that plot is called a "distribution." The PDF is aptly named ...

This IB Math AI SL 4.7 – Discrete Random Variables & Expected Value resource builds students’ understanding of how numerical outcomes from random processes are modelled and analysed. Students learn to ...