The
Hypergeometric distribution is a discrete distribution. It is
alike the Binomial distribution. Both of the Hypergeometric
distribution and the Binomial distribution describe the number of times
an event happens in a fixed number of trials. The difference
between the two distributions is that Binomial distribution trials are
independent, while Hypergeometric distribution trials change the
probability for each subsequent trial and are called "sampling without
replacement." The Hypergeometric distribution can be used to
describe sampling from a population. The Playing Card Probability
example in the Excel VBA Project section demonstrates such usage.
Click the below link to see the example on the web:
The following example shows input and output from 3 simulations.
Each with the different parameters listed in the table below. All
three simulations have 50,000 iterations and alpha of 5% (for 1 tail
test).
The output shows the estimate of skewness, mean,
stand deviation, maximum value, minimum value, lower confidence
interval, and upper confidence interval from each of the 3
simulations.
