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Consortium for Mathematics and its Applications

Product ID: 99269
Supplementary Print
Undergraduate

Monte Carlo: The Use of Random Digits to Simulate Experiments (UMAP)

Author: Dale T. Hoffman


A unit that involves the use of random digits to simulate experiments. Students use the Monte Carlo technique to simulate simple experiments, and in doing so are able to realize the strengths and weaknesses of this technique. By the end of the module students can appreciate the role of approximate solutions to compelx problems.

Table of Contents:

1. PROBLEMS FOR SIMULATION
1.1 The Rhythm Method
1.2 Lottery
1.3 Drunkard
1.4 Grocery Store

2. INTRODUCTION

3. A WORKED EXAMPLE
3.1 Coin

4. CORRESPONDENCE BETWEEN DIGITS AND EVENTS

5. RHYTHEM METHOD -- WORKED

6. OUTLINE OF THE MONTE CARLO TECHNIQUE

7. COMMENTS
7.1 The Name Monte Carlo
7.2 The Number of Experiments
7.3 Use of a Computer

8. ADDITIONAL EXERCISES

9. PROBLEMS

10. MODEL EXAM

11. ANSWERS TO SOME EXERCISES AND PROBLEMS

12. ANSWERS TO MODEL EXAM

APPENDIX: RANDOM NUMBERS

©1979 by COMAP, Inc.
UMAP Module
29 pages

Mathematics Topics:

Probability & Statistics

Application Areas:

Computers & Technology , Computer Simulation

Prerequisites:

Relative frequency of the probability of an event; frequency histogram; calculate mean, median, mode, and standard deviation

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