Answer:
[tex]Hypergeometric \ Probability \ Distribution[/tex]
Step-by-step explanation:
The hyper-geometric probability distribution has the following conditions:
-A sample size is selected [tex]without \ replacement[/tex] from population of [tex]n[/tex] elements.
-In the population, [tex]k[/tex] items can be classified as successes and [tex]N-k[/tex] as failures.
The distribution is defined as
[tex]h(x; N, n, k) = [ kCx ] [ N-kCn-x ] / [ NCn ][/tex]
Mean of distribution is[tex]n * k / N[/tex]
Variance [tex]n k ( N - k ) ( N - n ) / [ N2 ( N - 1 ) ][/tex]
