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Table of Contents
1 Cover
5 Preface Audience Topics Covered in This Book Approach Hallmark Features Student Resources Instructor Resources Errata Acknowledgments
7 1 Quality Improvement and Management 1.1 Introduction 1.2 Statistical Quality Control 1.3 Implementing Quality Improvement 1.4 Managing Quality Improvement 1.5 Conclusion
8 2 Basic Concepts of the Six Sigma Methodology 2.1 Introduction 2.2 What Is Six Sigma? 2.3 Is Six Sigma New? 2.4 Quality Tools Used in Six Sigma 2.5 Six Sigma Benefits and Criticism Review Practice Problems
9 3 Describing Quantitative and Qualitative Data 3.1 Introduction 3.2 Classification of Various Types of Data 3.3 Analyzing Data Using Graphical Tools 3.4 Describing Data Graphically 3.5 Analyzing Data Using Numerical Tools 3.6 Some Important Probability Distributions Review Practice Problems
10 4 Sampling Methods 4.1 Introduction 4.2 Basic Concepts of Sampling 4.3 Simple Random Sampling 4.4 Stratified Random Sampling 4.5 Systematic Random Sampling 4.6 Cluster Random Sampling Review Practice Problems
11
5 Phase I Quality Control Charts for Variables
5.1 Introduction
5.2 Basic Definition of Quality and Its Benefits
5.3 Statistical Process Control
5.4 Control Charts for Variables
5.5 Shewhart 
12 6 Phase I Control Charts for Attributes 6.1 Introduction 6.2 Control Charts for Attributes 6.3 The p Chart: Control Charts for Nonconforming Fractions with Constant Sample Sizes 6.4 The p Chart: Control Chart for Nonconforming Fractions with Variable Samples Sizes 6.5 The np Chart: Control Charts for the Number of Nonconforming Units 6.6 The c Control Chart – Control Charts for Nonconformities per Sample 6.7 The u Chart
13 7 Phase II Quality Control Charts for Detecting Small Shifts 7.1 Introduction 7.2 Basic Concepts of CUSUM Control Charts
