COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Probability - Modular Mathematics Series - 1st Edition - ISBN: 9780340614266, 9780080571898

Probability - Modular Mathematics Series

1st Edition

Author: John McColl
Paperback ISBN: 9780340614266
eBook ISBN: 9780080571898
Imprint: Butterworth-Heinemann
Published Date: 17th May 1995
Page Count: 192
Sales tax will be calculated at check-out Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of Contents

Modelling uncertainty * Sample space and events * Definitions of probability * Equally-likely outcomes * The axioms of probability * Conditional probability and independence * Bayes' theorem * Discrete random variables * The binomial and related distributions * Other special discrete distributions * Moments * Continuous random variables * The normal distribution * Functions of a random variable * Bivariate discrete distributions * Sums of independent random variables * The Central Limit theorem * Final thoughts * Answers to selected exercises * References * Index * Appendix 1 - Table of random digits * Appendix 2 - Table of the standard normal cumulative distribution function * Index.


Probability is relevant to so many different subject areas that its importance as a mathematical technique cannot be underestimated. This book provides a comprehensive, user-friendly introduction to the subject. The step-by-step approach taken by the author allows students to develop knowledge at their own pace and, by working through the numerous exercises, they are ensured a full understanding of the material before moving on to more advanced sections. Traditional examples of probablistic theory, such as coins and dice, are included but the author has also used many exercises based on real-life problems. The result is an introduction to probability that avoids the overly confusing, theoretical approach often adopted in this area, and provides a simple and concise text that will be invaluable to all studying first and second year courses on the subject.


First and second year mathematics undergraduates and those taking a mathematics option as part of a science or engineering course.


No. of pages:
© Butterworth-Heinemann 1995
17th May 1995
Paperback ISBN:
eBook ISBN:


"This book is well produced ... I can strongly recommend this as a source book for lecturers and teachers" Teaching Statistics

Ratings and Reviews

About the Author

John McColl

Affiliations and Expertise

Department of Statistics, University of Glasgow, UK