MGOC20H3 Chapter Notes - Chapter MODULE F: Cumulative Distribution Function, Probability Distribution, Monte Carlo Method
Document Summary
What is simulation: simulation attempt to duplicate features, appearance, and characteristics of a real system. Monte carlo simulation: monte carlo method simulation technique that uses random elements when chance exists in their behaviour. Is experimentation on chance (probabilistic) elements by means of random sampling: 5 steps, setting up a probability distribution for important variables. 2: building cumulative probability distribution for each variable, establishing an interval of random numbers for each variable, generating random numbers, actually simulating a series of trails. Building a cumulative probability distribution for each variable: cumulative probability distribution accumulation of individual probabilities of a distribution. Setting random-number intervals: random-number intervals set of numbers to represent each possible value or outcome in a computer simulation, random number series of digits that have been selected by a totally random process. Simulating the experiment: simulating by hand demonstrate important principles involved and useful in small-scale studies.