Assume you're a headhunter, and must find good employees
for your clients. Consider a pool of 100 applicants for a certain
type of job (e.g.: computer programmers). You need to fill a
number of vacancies, but despite your best HR tools, the
applicant pool still contains 30 'bad' candidates that you wish
to avoid. The reason for this is that the company that receives
a bad candidate will terminate your contract. To complicate
matters, you don't know which are the good and which are the
bad candidates, so you must pick them randomly from the
pool.
Which of the following distributions would best model the
probability of picking N good candidates in a row? Note that a
selected candidate is hired by a company and is no longer
looking for a job...
Binomial
Poisson
Hipergeometric
Uniform
Normal
