Mathematical Modeling with Probability: Using Authentic Problem Contexts (When Will I Ever Use This?) - Softcover

Chelst, Dr. Kenneth R.; Edwards, Dr. Thomas G.

Softcover

ISBN 10: 1986267733 ISBN 13: 9781986267731

Publisher: CreateSpace Independent Publishing Platform, 2018

Synopsis

This book analyzes authentic decision problems in meaningful contexts that involve randomness. It uses basic probability concepts as well as probability distributions to model a wide range of scenarios that involve uncertainty. These include managing customer service phone lines, buying collision insurance, analyzing the pattern of space shuttle disasters, dealing with absenteeism, scheduling a health care clinic, and improving graduation rates. The contexts have been chosen to align with high school students’ interests and/or demonstrate the broad applicability of mathematics. Embedded in each context is some decision so that students are introduced to mathematics as a decision-making tool. Throughout the book, students will make sense of problems, persevere in their solution, mathematically model real-world contexts, and use appropriate tools when necessary. A key aspect of this probability text is that students will simulate probabilistic situations with random number generators to develop intuition as to the nature of randomness.

About this title

About the Author

Dr. Kenneth R. Chelst: Kenneth R. Chelst is a professor of operations research in Industrial and Systems Engineering at Wayne State University. Dr. Chelst has consulted on more than 100 projects in public safety services and engineering management. Dr. Thomas G.Edwards: Thomas G. Edwards is the Associate Dean of Teacher Education in the College of Education at Wayne State University. He has also taught for more than two decades as a high school mathematics teacher.

Edition details

• Publisher: CreateSpace Independent Publishing Platform
• Publication date: 2018
• ISBN 10: 1986267733
• ISBN 13: 9781986267731
• Binding: Paperback
• Language: English
• Edition number: 2
• Number of pages: 320