Applied Statistics And Probability For Engineers(6th Edition)
Authors:
Douglas C. Montgomery, George C. Runger
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Solution Manual Includes
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Book details
ISBN: 1118539710, 978-1118539712
Book publisher: Wiley
Book Price $0 : The book 'Applied Statistics and Probability for Engineers' by Douglas C. Montgomery and George C. Runger is a comprehensive guide on leveraging statistical methodologies for engineering applications. Now in its sixth edition, the book provides in-depth insights into statistical processes crucial for problem-solving in engineering fields. It bridges the gap between theoretical concepts and practical implementation, focusing on probability distributions, statistical inference, regression models, and quality control processes. The authors emphasize real-world application with examples drawn from various engineering fields, reinforcing the relevance of statistical methods. The 'Table of Content' outlines core topics such as descriptive statistics and hypothesis testing, offering a roadmap for exploring complex concepts. For educators and students seeking a structured approach to learning, the 'solution manual' and 'Answer Key' serve as valuable resources for verifying problem-solving techniques and grasping essential concepts. The book has been well-received for its clear exposition and practical orientation, with readers appreciating the blend of theory and application. With a robust framework for understanding statistical methods in engineering, this book remains a vital resource for both students and practitioners striving to solve intricate engineering challenges through precise data analysis and mathematical modeling. Furthermore, it aligns with current educational standards, making it a popular choice in academic curriculums. Note: This book also navigates through concepts like Monte Carlo simulation, DOE, and Bayesian Statistics, enhancing its academic utility. Key concepts related to statistical analysis and engineering applications make it ideal for academic programs focusing on applied statistics and probabilistic methodologies.
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