This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are also of great use in areas such as laboratory analyses and research. The problems and examples presented are from actual cases encountered in the industry.
Preface
Introduction
What is Statistics?
Why Statistical Quality Control?
Aim of Book
Prerequisites
Suggestions to the Student
Brief Review of Statistical Background
Population and Sample
Parameter and Statistic
Notations
Probability Definitions and Laws
Distribution of Sample Statistics
Statistical Estimation
Testing Hypotheses
References
Control Charts in General
Introduction
Running Records of Performance
Random and Assignable Causes
The Control Chart for Interpreting Variations in Quality
Two Purposes of Control Charts
Economic Balance Between Two Errors
Meaning of a Process in Control and Potential Advantages
Problems
References
Control Charts for Measurements
Introduction
Control charts for Averages, Ranges and Standard Deviations, from Given Standards
Control Charts for Averages, Ranges and Standard Deviations, Analyzing Past Data
Comparison of the Two Charts for Variability
Comparison of a Process with Specifications
Continuing the Charts
Illustrative Example
Kinds of Assignable Causes
When to Set Standard Values- Process Capability
Use of Runs for Out of Controlness
Summary
Problems
References
Background of Control Charts for Measurements
Introduction
The Empirical Approach to Sampling Distributions
Control Charts for Samples from Normal Populations of x’s
Problems
References
Control Charts for Attributes
Introduction
Control Charts for Defectives
Control Charts for Defects
General Comments on Control Charts for Attributes
A Method of Rating Product Quality
Summary
Pro
Biography
Martorell, Sebastián; Guedes Soares, Carlos; Barnett, Julie
". . .Professor Burr expertly blends the statistical concepts for each subject with actual case histories to clearly illustrate the major points of each discussion. "
---Industrial Engineering
". . .Students and lecturers will find invaluable the numbers real-life examples and good practical advice. "
---Australian Journal of Statistics