Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (Int'l Ed)

J. Susan Milton

ISBN 10: 0071198598 / ISBN 13: 9780071198592

Published by McGraw-Hill Education - Europe, 2003

About this Item

New copy - Usually dispatched within 4 working days. 1232. Seller Inventory # B9780071198592

Bibliographic Details

Title: Introduction to Probability and Statistics: ...

Publisher: McGraw-Hill Education - Europe

Publication Date: 2003

Binding: Paperback / softback

Condition: New

Edition: 4th Edition

About this title

Synopsis:

This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.

From the Publisher:

New and retained examples and exercises are chosen specifically for students in engineering and computer science. Students can therefore work on problems within a context that is familiar and interesting to them.
The presentation is such that students get some understanding of the logic behind the techniques as well as practice using them. Because students will have some understanding of the logic behind the techniques, students are better able to retain the information and are better prepared to apply the techniques.
Data sets for examples and problems are provided in several electronic formats for use with the most popular statistical packages. Students do not have to waste valuable time entering data and data-entry errors are eliminated.
References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages.
SSM and IM provided.