Binomial Distribution


Statistics – Binomial Distribution



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Bionominal appropriation is a discrete likelihood conveyance. This distribution was discovered by a Swiss Mathematician James Bernoulli. It is used in such situation where an experiment results in two possibilities – success and failure. Binomial distribution is a discrete probability distribution which expresses the probability of one set of two alternatives-successes (p) and failure (q). Binomial distribution is defined and given by the following probability function −

Formula

${P(X-x)} = ^{n}{C_x}{Q^{n-x}}.{p^x}$

Where −

  • ${p}$ = Probability of success.

  • ${q}$ = Probability of failure = ${1-p}$.

  • ${n}$ = Number of trials.

  • ${P(X-x)}$ = Probability of x successes in n trials.

Example

Problem Statement −

Eight coins are tossed at the same time. Discover the likelihood of getting no less than 6 heads.

Solution

Let ${p}$=probability of getting a head. ${q}$=probability of getting a tail.


$ Here,{p}=frac{1}{2}, {q}= frac{1}{2}, {n}={8}, \[7pt]
{P(X-x)} = ^{n}{C_x}{Q^{n-x}}.{p^x} , \[7pt]
,{P (at least 6 heads)} = {P(6H)} +{P(7H)} +{P(8H)}, \[7pt]
, ^{8}{C_6}{{(frac{1}{2})}^2}{{(frac{1}{2})}^6} + ^{8}{C_7}{{(frac{1}{2})}^1}{{(frac{1}{2})}^7} +^{8}{C_8}{{(frac{1}{2})}^8}, \[7pt]
, = 28 times frac{1}{256} + 8 times frac{1}{256} + 1 times frac{1}{256}, \[7pt]
, = frac{37}{256}$

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