## Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences

by J. Susan Milton, Jesse Arnold

4th Edition 816 Pages Hardback
9780072468366 007246836X

http://www.mhhe.com/miltonarnold

• Description
• Features
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.

### 16 Statistical Quality Control 16.1 Properties of Control Charts 16.2 Shewart Control Charts for Measurements 16.3 Shewart Control Charts for Attributes 16.4 Tolerance Limits 16.5 Acceptance Sampling 16.6 Two-Stage Acceptance Sampling 16.7 Extensions in Quality Control Appendix A Statistical Tables Appendix B Answers to Selected Problems Appendix C Selected Derivations

New to this Edition

References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages.

Some of the more difficult derivations have been moved to an appendix.

Discussion of Tukey's method of paired comparisons and a section on the use of tolerance limits in quality control

Retained Features

New and retained examples and exercises are chosen specifically for students in engineering and computer science. Students can work on problems within a context that is familiar and interesting to them.

Students gain understanding of the logic behind the techniques as well as practice using them due to the authors' approach. Because of this, students are better able to retain the information and are better prepared to apply the techniques in this and future courses.

Data sets for examples and problems are provided in electronic format for use with the most popular statistical packages. Students do not have to waste valuable time entering data and data-entry errors are eliminated.

Student Solutions Manual and an Instructor's Manual are available.

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