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Probability - Modular Mathematics Series John McColl (Department of Statistics, University of Glasgow, UK)

Probability - Modular Mathematics Series par John McColl (Department of Statistics, University of Glasgow, UK)

Probability - Modular Mathematics Series John McColl (Department of Statistics, University of Glasgow, UK)


€5.70
État - Très bon état
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Résumé

Probability is a mathematical technique that is relevant to many different areas. This book provides a comprehensive, user-friendly introduction to the subject. Traditional examples of probabilistic theory, such as dice and coins are included together with exercises based on real-life problems.

Probability - Modular Mathematics Series Résumé

Probability - Modular Mathematics Series John McColl (Department of Statistics, University of Glasgow, UK)

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.

Probability - Modular Mathematics Series Avis

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

Sommaire

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.

Informations supplémentaires

GOR001290334
9780340614266
0340614269
Probability - Modular Mathematics Series John McColl (Department of Statistics, University of Glasgow, UK)
Occasion - Très bon état
Broché
Elsevier Science & Technology
19950517
192
N/A
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