A text for use in two- and four-year colleges and in industry, for students with a prior course in elementary algebra. Only the necessary mathematics is presented, with math material reviewed at the introduction of each new topic. Topics include quality concepts, the normal probability distribution,
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This new edition of Statistical Process Control and Quality Improvement has been updated to include a "reader-friendly" environment that allows for quick comprehension of the ideas and concepts covered in this book. With its easy readability, this text sets a foundation for charting, interpreting, and analyzing process capability, while also introducing the reader to other basic concepts and applications of Statistical Process Control (SPC). The problem-solving emphasis of this text is linked to the implementation of SPC in the workplace.
Featuring:A mathematics-friendly text designed to introduce students to Statistical Process Control (SPC), an important strategy used by business and industry to improve the quality of manufacturing, product integrity, and consumer services. This text examines basic SPC concepts and applications. Students get a solid foundation in control charts, including setting scales, charting, interpreting, and analyzing process capability. Problem solving techniques are emphasized, and all learning is linked to the actual implementation of SPC in the workplace. Many examples of worksheets and control charts used in industry are presented. Although elementary algebra is prerequisite, the text has been organized and writen so that students of various math levels will understand computations with little difficulty. Specific math skills are introduced and reviewed with each new topic.
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