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Binomial Distribution Formula

Binomial Distribution Formula: Explore more about the Binomial Distribution Formula with solved examples.

Binomial Distribution Formula

The article deals with Binomial distribution, binomial distribution formula, applications, and solved examples.

In probability and statistics, the binomial distribution theorem plays a vital role. A binomial distribution formula is a discrete probability function with several successive sequences with their value and outcomes. The single success or failure trial is the Bernoulli experiment or Bernoulli trials, i.e., n=1, a binomial distribution used in statistics and probability.

In a binomial distribution, the formula helps to ensure that the probability gets x success with n has its independent trials. It has two possible outcomes with two parameters, n and p.

The following criteria are required for a binomial distribution in probability.

All the trials should have only two outcomes, or the obtained result can be reduced to two products, either success or failure.

The trails must have a fixed number

The outcomes should be independent 

The success of the probability will remain the same.

Application

  • Used in the finding of the number of materials used.

  • Helpful in taking a survey from the public for particular work

  • To find the number of staff and students in the public and private sectors.

  • It helps to count the votes during the election.

Binomial Distribution Formula

The binomial distribution formula for random variable 

X = P(x:n,p) = nCx px (1-p)n-x Or P(x:n,p) = nCx px (q)n-x

P = probability of success

q = probability of failure 

n = number of trials

Binomial distribution in Bernouli’s distribution is

nCx = n!/x!(n-x)! or

P(x:n,p) = n!/[x!(n-x)!].px.(q)n-x

Example 1

If a coin is tossed five times, find the probability of obtaining at least two heads.

Solution:

P(at most 2 heads) = P(X ≤ 2) 

= P (X = 0) + P (X = 1)

P(X = 0) 

= (½)5 

= 1/32

P(X=1) 

= 5C1 (½)5

= 5/32

Therefore, P(X ≤ 2) = 1/32 + 5/32 = 3/16

Example 2

If a coin is tossed five times, find the probability of getting at least four heads?

Solution

P(at least 2 heads) = P(X ≤ 4) 

P(x ≥ 4) = P(x = 4) + P(x=5)

P(x = 4) 

= 5C4 p4 q5-4 

= 5!/4! 1! × (½)4× (½)1 

= 5/32

P(x = 5) 

= 5C5 p5 q5-5

= (½)5 

= 1/32

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