Final answer:
Hypergeometric probability distribution is recognized by taking samples from two groups, being concerned with a specific group of interest, sampling without replacement, having non-independent picks, and not dealing with Bernoulli trials.
Step-by-step explanation:
A hypergeometric experiment is a statistical experiment with the following properties:
- You take samples from two groups
- You are concerned with a group of interest, called the first group
- You sample without replacement from the combined groups
- Each pick is not independent, since sampling is without replacement
- You are not dealing with Bernoulli trials
The outcomes of a hypergeometric experiment fit a hypergeometric probability distribution. The random variable X = the number of items from the group of interest. The distribution of X is denoted X ~ H(r, b, n), where r = the size of the group of interest (first group), b = the size of the second group, and n = the size of the chosen sample. It follows that n ≤ r + b.
To recognize the hypergeometric probability distribution, you can look for these characteristics and apply it appropriately to a given scenario.