{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Chapter 19

Chapter 19 - Chapter 19 Simulations Motivation Some...

This preview shows pages 1–7. Sign up to view the full content.

Chapter 19 Simulations

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Motivation Some probabilities are tougher to model using mathematical reasoning. We may wish to verify a probability model even if it can be reasoned. Example – we wish to design a toll plaza for a tunnel. But we don’t know How many booths should we have? What happens if we allow credit card payment? What happens during rush hour? Solution Simulate random behavior of drivers.
Outline Where do probabilities come from Simulation basics Elaborate simulations

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Where Do Probabilities Come From
Probability Recall that the probability of a random phenomenon occurring is interpreted as the expected proportion of times that the phenomenon will occur out of the total in the long run. Once we have a probability model, we can get a better idea of how it applies to the real world before we apply it to the real world by running a simulation.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Why Simulate? Running simulations force us to understand probability and random behavior. Even if we are confident in our probability model we should still check it. Some events are complex.
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 19

Chapter 19 - Chapter 19 Simulations Motivation Some...

This preview shows document pages 1 - 7. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online