Number Generator - Binomial Distribution
Binomial distribution describes the number of successes in t
independent Bernoulli (yes or no) trails with probability p of success
on each trial. It is used to answer questions such as how many
times a head will come up when a coin is flipped 5 times or how many
defective items will be found in 20 items.
The following example shows input and output from 3 simulations.
Each simulation has the probability (of success) and number of trial
set as (0.4, 10), (0.5, 50), and (0.8, 100), respectively.
All three simulations have 50,000 iterations and alpha of 5% (for 1
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. The simulated means (3.99, 25, and 80) closely
represent the theoretical means (p * t) from each of the simulations.
The following shows the charts generated
from the 3 simulations.
* Complete program (with open source
codes) available in Package Set 2 and the Combo Package.