The U.S. Department of the Interior wants to describe the movement of wild horses in Nevada. Researchers in the department travel to a particular area in Nevada to tag 100 horses in a total population of 1,000. Six months later the researchers return to the same area to find out how many horses remained in the area. The researchers look for tagged horses in a sample of 200.
Check the data against the conditions of the hypergeometric distribution. The parameter values for the hypergeometric distribution in Crystal Ball are the population size of 1,000, sample size of 200, and an initial success rate of 100 out of 1,000 (or a probability of 10% — 0.1 — of finding tagged horses. The result would be a distribution showing the probability of observing x number of tagged horses.
If you used this distribution in a model created in Crystal Ball 2000.x, you might notice slight data changes when running that model in the current version of Crystal Ball. This is because some rounding might occur when converting the probability parameter used in previous releases to the success parameter used in this version of Crystal Ball.