Part of ALG-04 — Probability & Distributions

Binomial Distribution

by Notetube Official112 words4 views

Cue Column:

  • What defines a Bernoulli trial?
  • What is P(X = r)?
  • What are mean and variance?

Note Column: A Bernoulli trial has exactly two outcomes: success (probability p) and failure (probability q = 1 - p). In n independent Bernoulli trials, X = number of successes follows the Binomial distribution: P(X = r) = C(n,r) * prp^r * q^(n-r) for r = 0, 1, ..., n. Mean E(X) = np, Variance Var(X) = npq, Standard deviation = sqrt(npq). The probabilities sum to (p+q)^n = 1.

Summary: Binomial distribution models repeated independent trials with fixed success probability. The formula, mean, and variance are direct applications of the binomial expansion.

Like these notes? Save your own copy and start studying with NoteTube's AI tools.

Sign up free to clone these notes