In 3 trials of a binomial distribution, the probability of 2 successes is 9 times the probability of 3 successes. Find the probability of success in each trial. |
$\frac{1}{2}$ $\frac{1}{3}$ $\frac{1}{4}$ $\frac{2}{3}$ |
$\frac{1}{4}$ |
The correct answer is Option (3) → $\frac{1}{4}$ Given, in 3 trials of a binomial distribution $P(2) = 9P(3)$ ...(i) Let the probability of success be p, then probability of failure = $q = 1-p$. Here, the number of Bernoullian trials is 3 i.e. $n = 3$. From (i), we get ${^3C}_2 p^2q = 9.{^3C}_3 p^3$ $(∵p≠0)$ $⇒ 3p^2q=9.1.p^3⇒q=3p$ $(∵q=1-p)$ $⇒ 1-p=3p$ $⇒ 4p = 1⇒ p =\frac{1}{4}$ Hence, the probability of success in each trial = $\frac{1}{4}$ |