In the fifth edition of Engineering Statistics, SI Version, Montgomery, Runger, and Hubele present a modern approach to the integration of statistical tools within the engineering problem-solving process. The book provides a balanced presentation of theory and practice, ensuring that engineering professionals and students alike can readily apply statistical methods to real-world challenges. Covering essential topics such as descriptive statistics, probability, probability distributions, hypothesis testing with confidence intervals for one and two samples, regression modeling, experimental design and analysis, and statistical process control, this edition offers a comprehensive framework for understanding and using engineering statistics. Developed with insights gleaned from extensive teaching experience and feedback from prior editions - and supported by the guidance of the National Science Foundation - this SI version continues to set the standard for statistical applications in engineering.
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