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Overview of Probability and Statistics for Engineers and Scientists | Includes Case studies with Statistical Software coverage such as SAS & MINITAB, Updated 9th Edition Book
| Title | Probability and Statistics for Engineers and Scientists | Includes Case studies with Statistical Software coverage such as SAS & MINITAB, Updated 9th Edition |
| Author | Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye, & 1 More |
| ISBN-13 | 9788119896646 |
| Publication | PEARSON |
For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. New and Updated Features – Real-life applications of the Poisson, binomial, and hypergeometric distributions generate student interest using topics such as flaws in manufactured copper wire, highway potholes, hospital patient traffic, airport luggage screening, and homeland security. Case studies provide deeper insight into the practicality of the concepts. Statistical software coverage in case studies includes SAS® and MINITAB®, with screenshots and graphics as appropriate. “Pot Holes” comments remind students of the bigger picture and how each chapter fits into that picture. These notes also discuss limitations of specific procedures and help students avoid pitfalls in misusing statistics. Class projects in several chapters provide the opportunity for students to gather their own experimental data and draw inferences from that data. These projects illustrate the meaning of a concept or provide empirical understanding of important statistical results and are suitable for either group or individual work.
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Overview of Probability and Statistics for Engineers and Scientists | Includes Case studies with Statistical Software coverage such as SAS & MINITAB, Updated 9th Edition Book
For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. New and Updated Features – Real-life applications of the Poisson, binomial, and hypergeometric distributions generate student interest using topics such as flaws in manufactured copper wire, highway potholes, hospital patient traffic, airport luggage screening, and homeland security. Case studies provide deeper insight into the practicality of the concepts. Statistical software coverage in case studies includes SAS® and MINITAB®, with screenshots and graphics as appropriate. “Pot Holes” comments remind students of the bigger picture and how each chapter fits into that picture. These notes also discuss limitations of specific procedures and help students avoid pitfalls in misusing statistics. Class projects in several chapters provide the opportunity for students to gather their own experimental data and draw inferences from that data. These projects illustrate the meaning of a concept or provide empirical understanding of important statistical results and are suitable for either group or individual work.
Book Type :
Statistics
Book Binding :
Not Available
Language :
English
No. of Pages :
812 Pages
ISBN - 10 :
8119896645
ISBN - 13 :
9788119896646
Probability and Statistics for Engineers and Scientists | Includes Case studies with Statistical Software coverage such as SAS & MINITAB, Updated 9th Edition Published On :
7 March 2024
Publisher :
Pearson Education
Edition :
Not Available
About Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye, & 1 More:
Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye, & 1 More is the author of Probability and Statistics for Engineers and Scientists | Includes Case studies with Statistical Software coverage such as SAS & MINITAB, Updated 9th Edition.
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Overview of Probability and Statistics for Engineers and Scientists | Includes Case studies with Statistical Software coverage such as SAS & MINITAB, Updated 9th Edition Book
| Title | Probability and Statistics for Engineers and Scientists | Includes Case studies with Statistical Software coverage such as SAS & MINITAB, Updated 9th Edition |
| Author | Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye, & 1 More |
| ISBN-13 | 9788119896646 |
| Publication | PEARSON |
For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. New and Updated Features – Real-life applications of the Poisson, binomial, and hypergeometric distributions generate student interest using topics such as flaws in manufactured copper wire, highway potholes, hospital patient traffic, airport luggage screening, and homeland security. Case studies provide deeper insight into the practicality of the concepts. Statistical software coverage in case studies includes SAS® and MINITAB®, with screenshots and graphics as appropriate. “Pot Holes” comments remind students of the bigger picture and how each chapter fits into that picture. These notes also discuss limitations of specific procedures and help students avoid pitfalls in misusing statistics. Class projects in several chapters provide the opportunity for students to gather their own experimental data and draw inferences from that data. These projects illustrate the meaning of a concept or provide empirical understanding of important statistical results and are suitable for either group or individual work.