Statistics for Quality Control

Industrial Statistics for Quality Control is a basic level study of statistics used in a production operations setting. It is primarily intended for students entering quality control or other industrial and operations careers. It covers introductory topics such as a brief background, measurements, and graphing techniques. It then moves on to the beginning statistics necessary to understand these practices commonly found in industry and ends with coverage of quality assurance issues along with some pertinent managerial practices associated with this topic.

Industrial Statistics for Quality Control is designed for trade schools, corporate training programs, technical and community colleges, or freshman level university students beginning a major in quality and quality management. It could also be used as a refresher for more advanced students or students in other operations topics not focused entirely on quality.

Industrial Statistics for Quality Control is also intended for students entering an industrial career in a production or manufacturing setting; or are already employed and require training. The statistics found in this text is “non-calculus” or “non-engineering” statistics, yet includes the most common practices found in an industrial setting regarding quality control statistics.
 
Features

• Includes many easy to understand industrial examples of skills needed on the job.
• Includes Basic Inferential statistics for hypothesis testing on the job.
• Minitab & Excel data sets are used in many of the examples and home work problems.
• Uses informal language to explain key concepts and processes used in Industry.

Preface

Chapter 1 : The Industrial Age
Chapter 2 : Numbers, Measurements & Scales
Chapter 3 : Sampling & Organization of Data
Chapter 4 : Basic Statistics for Discrete Distributions
Chapter 5 : Statistics for Continuous Distributions
Chapter 6 : Statistical Process Control for Attributes
Chapter 7 : Process Control for Variables
Chapter 8 : Control Chart Analysis
Chapter 9 : Acceptance Sampling
Chapter 10 : Inferential Applications
Chapter 11 : Additional Uses of Statistics in Industry
Chapter 12 : Quality Management

Appendices
Index

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