Binomial Distribution (Leaving Cert Mathematics): Flashcards

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Binomial Distribution
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Binomial distribution: type of probability distribution

Discrete probability distribution

First condition for binomial distribution

Two possible outcomes (success or failure)

Second condition for binomial distribution

Probability of success pp remains constant

Third condition for binomial distribution

Trials are independent of each other

Binomial probability formula for P(X=k)P(X = k)

(nk)pk(1−p)n−k\binom{n}{k} p^k (1-p)^{n-k}

Formula for binomial coefficient (nk)\binom{n}{k}

n!k!(n−k)!\frac{n!}{k!(n-k)!}

Mean of binomial distribution

μ=n×p\mu = n \times p

Variance of binomial distribution

σ2=n×p×(1−p)\sigma^2 = n \times p \times (1-p)

Variable nn in binomial distribution

Total number of trials

Variable pp in binomial distribution

Probability of success

Three common applications of binomial distribution

Quality control, surveys, games of chance

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