Synopsis
Statistical Methods for Quality Improvement is highly recommended for managers and serious students of quality. Major US companies issue this reference and the accompanying training manual to all managers during their quality training. Also very valuable as a reference on the use of statistics with a business and quality perspective, the book covers the basic statistical quality tools, including data collection, Pareto analysis, cause-and-effect analysis, histograms, scatter diagrams, control charts, and variance. It also provides an introduction to statistical inference and presents the seven-step problem-solving method known as the QC Story .
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