offers a theoretical foundation for statistics methods and a modern development of probability, and explores applications which highlight the bases for statistical methods and the underlying assumptions. The fourth edition includes an expanded chapter on understanding the key-statistical ideas and techniques for quality improvement programmes. The text integrates examples throughout that emphasize the procedures for improving processes, and includes new examples based on real data. The book further incorporates generic computer output in a number of the examples, and extends the treatment of plots for checking probability models, residual plots of checking models with predictor variables and transformations.

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