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Reviews There are no reviews yet. K educators : This link is for individuals purchasing with credit cards or PayPal only. A practical state-of-the-art approach is stressed throughout, and sufficient theory is presented to ensure that students develop a solid understanding of basic quality principles.
To improve accessibility, probability and statistical techniques are presented through simpler math or developed via tables and charts.
Fully prepares students to participate in modern Total Quality Management programs and initiatives. Offers a full chapter introducing TQM principles and Practices, and another on TQM tools and techniques, establishing a foundation for deeper coverage of specific quality tools, techniques, and standards later in the text. Gives students hands-on practice with realistic quality data.
Contains exercises at the end of each chapter; boxed example problems throughout; and a CD-ROM of quality data files using the Microsoft Excel format. Gives students the conceptual and qualitative understanding they need before they can master quantitative techniques.
Prepares students for quantitative quality analysis by first introducing qualitative aspects of SPC, fundamentals of statistics, control charts for variables and attributes, and other crucial concepts and techniques. Helps students understand exactly what they will be learning.
Provides clear learning objectives at the beginning of each chapter, to help students focus their study. Helps students see how and why the quality improvement discipline emerged, and how it has evolved.
Includes historical review and introductory sections placing key concepts and techniques in context. This edition has been thoroughly reworked to focus on the quantitative aspects of quality improvement, while retaining the accessibility and user-friendliness that has made it a market leader through eight previous editions.
New introductory chapter— briefly describing all leading quality improvement tools and techniques. Thorough introduction to experimental design— including hypotheses, t and F tests, one-factor, orthogonal design, point and interval estimates, two factors, full factorials, and fractional factorials.
Introduction to Quality Improvement. Table B. Table G Pearson offers affordable and accessible purchase options to meet the needs of your students. Connect with us to learn more.
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