If the mean and the variance of a binomial distribution are 6 and 3 respectively, then the probability of five successes is :
Answer & explanation
Correct answer: option 1
The correct answer is Option (1) → ${^{12}C}_5 \left(\frac{1}{2}\right)^{12}$
In a Binomial Distribution,
Mean, $μ=np$
Variance, $σ^2=np(1-p)$
and,
$μ=6,σ^2=3$
$⇒np=6$
and,
$np(1-p)=3$
$6(1-p)=3$
$p=\frac{1}{2}$ and $n=12$
the probability mass function (PMF) is,
$P(X=k)={^nC}_kp^k(1-p)^{n-k}$
$P(X=5)={^{12}C}_5(\frac{1}{2})^5(\frac{1}{2})^{12-5}$
$={^{12}C}_5 \left(\frac{1}{2}\right)^{12}$