Mean and variance of a binomial probability d | vedclass

Name: Exam Paper Generator | JEE NEET Paper Generator | Vedclass
Brand: Vedclass
Rating: 5 (35 reviews)

Question

(D) Let $n$ be the number of trials,$p$ be the probability of success,and $q$ be the probability of failure.Given that the mean $np = 4$ and the varia

Vedclass · Accepted Answer

$\frac{716}{729}$

Vedclass · Answer

(D) Let $n$ be the number of trials,$p$ be the probability of success,and $q$ be the probability of failure.Given that the mean $np = 4$ and the variance $npq = \frac{4}{3}$.Dividing the variance by the mean,we get $q = \frac{npq}{np} = \frac{4/3}{4} = \frac{1}{3}$.Since $p + q = 1$,we have $p = 1 - \frac{1}{3} = \frac{2}{3}$.Substituting $p$ into $np = 4$,we get $n 	imes \frac{2}{3} = 4$,which implies $n = 6$.The probability of at least two successes is $P(X \geq 2) = 1 - P(X = 0) - P(X = 1)$.Using the binomial formula $P(X = k) = \binom{n}{k} p^k q^{n-k}$,we have:$P(X = 0) = \binom{6}{0} (\frac{2}{3})^0 (\frac{1}{3})^6 = 1 	imes 1 	imes \frac{1}{729} = \frac{1}{729}$.$P(X = 1) = \binom{6}{1} (\frac{2}{3})^1 (\frac{1}{3})^5 = 6 	imes \frac{2}{3} 	imes \frac{1}{243} = 4 	imes \frac{1}{243} = \frac{12}{243} = \frac{36}{729}$.Therefore,$P(X \geq 2) = 1 - (\frac{1}{729} + \frac{36}{729}) = 1 - \frac{37}{729} = \frac{692}{729}$.Wait,re-calculating: $P(X=1) = 6 	imes (2/3) 	imes (1/243) = 12/243 = 36/729$. Sum is $37/729$. $1 - 37/729 = 692/729$. Checking the provided option $D$ which is $716/729$. Let's re-verify $P(X=1) = 6 	imes (2/3) 	imes (1/243) = 12/243 = 36/729$. $1 - (1/729 + 12/243) = 1 - (1/729 + 36/729) = 692/729$. The provided option $D$ is $716/729$. If $P(X=1) = 6 	imes (2/3) 	imes (1/243) = 12/243 = 36/729$. $1 - 37/729 = 692/729$. There might be a typo in the question options,but based on standard calculation,the result is $692/729$.

Mean and variance of a binomial probability distribution are $4$ and $\frac{4}{3}$ respectively. Then the probability of at least two successes is equal to:

Similar Questions

$A$ person buys a lottery ticket in $50$ lotteries,in each of which his chance of winning a prize is $\frac{1}{100}$. What is the probability that he will win a prize at least once?

An unbiased coin is tossed $n$ times. If the probability of getting at least one head is greater than $0.8$,then the least value of $n$ is

In a binomial distribution,the probability of success is $\frac{1}{4}$ and the standard deviation is $3$. Find its mean.

If $X$ has a binomial distribution with parameters $n=6, p$ and $P(X=2)=12, P(X=3)=5$,then $p=$

$A$ random variable $X \sim B(n, p)$. If the values of the mean and variance of $X$ are $18$ and $12$ respectively,then the total number of possible values of $X$ is:

Vedclass Test Series

Exam Paper Generator

Online Exam Module