This simulation models the binomial distribution, allowing students to explore how repeated independent trials with two possible outcomes create predictable probability patterns. Learners can adjust the number of trials and success probability, observe how the distribution shape changes, and connect theoretical predictions with visual representations of real outcomes.
Learning objectives: Understand how binomial distributions model real-world probability scenarios | Visualise the effect of changing trial numbers and success probability on distribution shape | Develop intuition for discrete probability and statistical variability through interactive exploration