The hypergeometric inverse cdf
k = qhypg(p,n,K,N)
probability (scalar, vector or matrix)
nonnegative integers such that n<= N and K<= N
is the total number of elements of the population
is the number of elements which are randomly extracted
is the number of elements of the population which have the studied property
for each p, k is the smallest integer j such that P(X <= j) >= p.
The hypergeometric inverse cdf