(i) Before the observed event there are n+1 hypotheses, equally likely; for the bag may contain 0,1,2,3,.....n white balls.
P0=P1=P2=P3=.....=Pn;
and p0=0,p1=(1n)k,p2=(2n)k,p3=(3n)k,........,pn=(nn)k.
Hence after the observed event,
Qr=rk1k+2k+3k+.....+nk
Now the chance that the next drawing will give a white ball =∑rnQr;
Thus the required chance =1n⋅1k+1+2k+1+3k+1+......+nk+11k+2k+3k+.....+nk;
and the value of numerator and denominator may be found.
In the particular case when k=2,
the required chance is 1n{n(n+1)2}2÷n(n+1)(2n+1)6
=3(n+1)2(2n+1).
If n is indefinitely large, the chance is equal to the limit, when n is infinite, of 1n⋅nk+2k+2÷nk+1k+1;
and thus the chance is k+1k+2.
(ii) If the balls are not replaced,
pr=rn⋅r−1n−1⋅r−2n−2.........r−k+1n−k+1;
and Qr=pr∑pr=(r−k+1)(r−k+2).....(r−1)rr=n∑r=0(r−k+1)(r−k+2)........(r−1)r
=(k+1)(r−k+1)(r−k+2).....(r−1)r(n−k+1)(n−k+2)..........(n−1)n(n+1).
The chance that the next drawing will give a white ball =r=n∑r=0r−kn−kQr
=k+1(n−k)(n−k+1).....n(n+1)r=n∑r=0(r−k)(r−k+1)..........(r−1)r
=k+1(n−k)(n−k+1).....n(n+1)⋅(n−k)(n−k+1).....n(n+1)k+2
=k+1k+2,
which is independent of the number of balls in the bag at first.