Binomial Distribution Lab
Skill goal: See how the number of trials n and success chance p shape the binomial distribution — and read exact probabilities off it.
1 · Observe
Each bar is P(X = k): the chance of exactly k successes in n trials.
2 · Manipulate
3 · Predict
Set n = 10, p = 0.5. Before looking: which k is most likely, and roughly how likely is it? Now drag p to 0.9 — does the peak move? Does the spread change?
4 · See
5 · Explain
Each bar comes from P(X = k) = C(n,k)·pk·(1−p)n−k: choose which k trials succeed, then multiply the chances. The center sits at the mean μ = np and the spread is σ = √(np(1−p)) — widest at p = 0.5, squeezed near p = 0 or 1.
6 · Challenge
Q: For n = 10, p = 0.5, P(X = 5) is about…