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.

1.Modelling uncertainty
2.Sample spaces and events
3.Definitions of probability
4.Equally likely outcomes
5.The axioms of probability
6.Conditional probability and independence
7.Bayes'theorem
8.Discrete random variables
9.The binomial and related distributions
10.Other special discrete distributions
11.Moments
12.Continuous random variables
13.The normal distribution
14.Functions of a random variable
15.Bavarite discrete distributions
16.Sums of independent random variables
17.The central limit theorem
18.Final thoughts

배송정보

교환/반품 정보