A is a set containing n elements. A subset P of A is chosen at random. The set A is reconstructed by replacing the elements of P. A subset Q is again chosen at random. The probability that Q is a subset of P, is |
$\frac{3}{4^n}$ $\left(\frac{3}{4}\right)^n$ $n\left(\frac{3}{4}\right)^n$ $\frac{3n}{4^n}$ |
$\left(\frac{3}{4}\right)^n$ |
The set A has n elements. So, it has $2^n$ subsets. Therefore, set P can be chosen in ${^{2n}C}_1$ ways. Similarly, set Q can also be chosen in ${^{2n}C}_1$ ways. Let the subset P of A contains r elements, with 0 ≤ r ≤ n. Then, the number of ways of choosing P is ${^nC}_r$. The subset Q of P can have at most r elements and the number of ways of choosing Q is $2^r$. Therefore, the number of ways of choosing P and Q is ${^nC}_r ×2^r$ when P has r elements. So, P and Q can be chosen in general in $\sum\limits^{n}_{r=0} {^nC}_r × 2^r = (1+2)^n = 3^n $ ways Hence, required probability $=\frac{3^n}{4^n}=\left(\frac{3}{4}\right)^n$ |