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.
Table of Contents
What is Statistics?
Why Statistical Quality Control?
Aim of Book
Suggestions to the Student
Brief Review of Statistical Background
Population and Sample
Parameter and Statistic
Probability Definitions and Laws
Distribution of Sample Statistics
Control Charts in General
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
Control Charts for Measurements
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
Kinds of Assignable Causes
When to Set Standard Values- Process Capability
Use of Runs for Out of Controlness
Background of Control Charts for Measurements
The Empirical Approach to Sampling Distributions
Control Charts for Samples from Normal Populations of x’s
Control Charts for Attributes
Control Charts for Defectives
Control Charts for Defects
General Comments on Control Charts for Attributes
A Method of Rating Product Quality
Burr, Irving W.
". . .Professor Burr expertly blends the statistical concepts for each subject with actual case histories to clearly illustrate the major points of each discussion. "
". . .Students and lecturers will find invaluable the numbers real-life examples and good practical advice. "
---Australian Journal of Statistics