Statistics – Binomial Distribution

Prabhu TL
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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)=nCxQn−x.pxP(X−x)=nCxQn−x.px

Where −

·        pp = Probability of success.

·        qq = Probability of failure = 1−p1−p.

·        nn = Number of trials.

·        P(X−x)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 pp=probability of getting a head. qq=probability of getting a tail.

Here,p=12,q=12,n=8, P(X−x)=nCxQn−x.px,P(at least 6 heads)=P(6H)+P(7H)+P(8H),8C6(12)2(12)6+8C7(12)1(12)7+8C8(12)8,=28×1256+8×1256+1×1256,=37256

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Prabhu TL is a SenseCentral contributor covering digital products, entrepreneurship, and scalable online business systems. He focuses on turning ideas into repeatable processes—validation, positioning, marketing, and execution. His writing is known for simple frameworks, clear checklists, and real-world examples. When he’s not writing, he’s usually building new digital assets and experimenting with growth channels.
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