We are given M urns, numbered 1 to M and n balls (n < M) and P(A) denote the probability that each of the urns numbered 1 to n, will contain exactly one ball.
Column IColumn II(a)If the balls are different and any number of balls can go to any urn then P(A)= –––(p)1MCn(b)If the balls are identical and any number of balls can go to any urn then P(A)= –––(q)1(M+n−1)CM−1(c)If the balls are identical but at most one ball can be put in any box, then P(A)= –––(r)n!MCn(d)If the balls are different and at most one ball can be put in any box, then P(A)= –––(s)n!Mn
(a→s,b→q,c→p,d→p)
(a) n(s)=Mn; n(A)=n!⇒P(A)=n!Mn
Since any number of different balls can go in any urn, each ball can be placed in M ways. Therefore sample space =Mn ways. Favourable outcome would be permuatuting n balls in the first n urns. Therefore favourable outcome =n! ways.
(b) n(s)=M+n−1CM−1; n(A)=1⇒P(A)=1M+n−1CM−1
Since balls are all identical, just placing the balls would result as our sample space. We have n balls and to distribute them in M urns, we need to segegrate them by M−1 divisions. Therefore sample space =M+n−1CM−1 ways. Favourable outcome would be permuatuting n identical balls in the first n urns. Therefore favourable outcome =1 ways.
(c) n(s)=MCn; n(A)=1⇒P(A)=1MCn
Selecting n urns out of M urns in MCn ways. Favourable outcome would be permuatuting n identical balls in the first n urns. Therefore favourable outcome =1 ways.
(d) n(s)=MCn⋅n!; n(A)=n!⇒P(A)=1MCn
Selecting n urns out of M urns and permuting the n balls in them in MCn⋅n! ways. Favourable outcome would be permuatuting n balls in the first n urns. Therefore favourable outcome =n! ways.