Binomial Distribution Explorer

A binomial variable counts successes in n independent trials, each with success probability p. Set n and p, then read off P(X = k), the mean μ = np, and the SD σ = √(np(1−p)). Watch the shape skew as p leaves 0.5.

PMF bar   selected outcome(s)   normal approx.

Trialsn = 10
12550
Success probabilityp = 0.50
0.000.501.00
Outcomek = 5
0510
Mean μ = np
5.0000
SD σ = √(np(1−p))
1.5811
Normal approximation N(μ, σ²)
Live probability

Try: set p = 0.10, n = 10 — the PMF is right-skewed and the normal overlay fits badly (np = 1 < 10). Now push n = 40, p = 0.50: the bars go symmetric and the bell curve traces them, because np = 20 and n(1−p) = 20 both clear 10.