Binomial probabilities
A binomial model counts successes in a fixed number of independent trials.
Read the lesson: Binomial probabilities
For X ~ B(n,p), the success probability p is constant, trials are independent and each has two outcomes. P(X = k) = C(n,k)pᵏ(1 − p)ⁿ⁻ᵏ for integer k from zero to n.
Translate the event carefully before using a calculator: at least one means 1 − P(X = 0), while more than three means X ≥ 4. A probability calculation does not establish that the binomial assumptions fit the real situation.
Worked example
For X ~ B(5,0.2), find P(X ≥ 1).
- Use the complement: P(X ≥ 1) = 1 − P(X = 0).
- P(X = 0) = 0.8⁵ = 0.32768.
Answer: 0.67232
Practise binomial probabilities
Course mapping
These specification references show where the topic occurs. The questions cover only some parts of each topic.
- 9FM0 · FS1 · Discrete random variables: Binomial probabilities
- 7367 · statistics · Discrete random variables: Binomial probabilities
- H245 · statistics · Discrete random variables: Binomial probabilities
- H645 · Y422 · Discrete random variables: Binomial probabilities
- H645 · Y432 · Discrete random variables: Binomial probabilities
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