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Consortium for Mathematics and its Applications

Product ID: 99391
Supplementary Print
Undergraduate

Conditional Probability and Ambiguous Information (UMAP)

Author: Roger Carlson


A unit that involves conditional probability and ambiguous information. The purpose of this module is to allow students to puzzle over some of the problems raised by the concept of conditional probability.

Table of Contents:

PREFACE

1. BRIEF REVIEW OF THE IDEA OF CONDITIONAL PROBABILITY AND BAYES' RULE
1.1 Basic Ideas

2. BAYES' RULE

3. EXAMPLE OF AMBIGUOUS INFORMATION

4. FURTHER READING

5. REFERENCES

6. ANSWERS TO EXERCISES

©1980 by COMAP, Inc.
UMAP Module
25 pages

Mathematics Topics:

Probability & Statistics

Application Areas:

Social Studies

Prerequisites:

Elementary probability for finite sample spaces

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