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In a binomial distribution, mean is 18 and variance is 12 then p = . . . . . .
  • a)
    2/3
  • b)
    1/3
  • c)
    3/4
  • d)
    1/2
Correct answer is option 'B'. Can you explain this answer?
Most Upvoted Answer
In a binomial distribution, mean is 18 and variance is 12 then p = . ...
We know that, mean = np = 18 and variance = n p q = 12
Now,
∴ p = 1 - q = 1 - (⅔) = (⅓)
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In a binomial distribution, mean is 18 and variance is 12 then p = . ...
Binomial Distribution:

A binomial distribution represents the probability distribution of a random variable X that has a binomial distribution with parameters n and p, where n is the number of trials and p is the probability of success in each trial.

Mean and Variance of Binomial Distribution:

The mean of a binomial distribution is given by μ = np, where n is the number of trials and p is the probability of success in each trial.

The variance of a binomial distribution is given by σ^2 = np(1-p).

Given Mean and Variance:

In this problem, we are given the mean (μ) and variance (σ^2) of a binomial distribution.

μ = 18
σ^2 = 12

We can use these equations to solve for p:

μ = np
18 = n*p

σ^2 = np(1-p)
12 = n*p*(1-p)

Solving for n and p:

From the first equation, we can solve for n:

n = 18/p

Substituting this value of n into the second equation:

12 = (18/p)*p*(1-p)

12 = 18(1-p)

1-p = 2/3

p = 1/3

Therefore, the correct answer is option B: 1/3.
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In a binomial distribution, mean is 18 and variance is 12 then p = . . . . . .a)2/3b)1/3c)3/4d)1/2Correct answer is option 'B'. Can you explain this answer?
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