Statistical Methods for Quality Improvement

Description

This classic text and training manual focuses on real-world applications of statistical tools for improving quality. Highly recommended by Dr. Ishikawa (author of Guide to Quality Control), the book: Covers the basic statistical quality tools, including data collection, Pareto analysis, cause-and-effect analysis, histograms, scatter diagrams, control charts, and variance; provides an introduction to statistical inference; presents the seven-step problem-solving method known as the "QC Story."

This text is highly recommended for managers and serious students of quality. Major U.S. companies issue this reference and training manual to all managers during their quality training.



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