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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (Int'l Ed) (COLLEGE IE OVERRUNS) - Hardcover
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.
"synopsis" may belong to another edition of this title.
From the Publisher:
New and retained examples and exercises are chosen specifically for students in engineering and computer science. Students can therefore work on problems within a context that is familiar and interesting to them.
The presentation is such that students get some understanding of the logic behind the techniques as well as practice using them. Because students will have some understanding of the logic behind the techniques, students are better able to retain the information and are better prepared to apply the techniques.
Data sets for examples and problems are provided in several electronic formats for use with the most popular statistical packages. Students do not have to waste valuable time entering data and data-entry errors are eliminated.
References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages.
SSM and IM provided.
About the Author:
The presentation is such that students get some understanding of the logic behind the techniques as well as practice using them. Because students will have some understanding of the logic behind the techniques, students are better able to retain the information and are better prepared to apply the techniques.
Data sets for examples and problems are provided in several electronic formats for use with the most popular statistical packages. Students do not have to waste valuable time entering data and data-entry errors are eliminated.
References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages.
SSM and IM provided.
J.Susan Milton is professor Emeritus of Satatics at Radford University. Dr. Milton recieved the B.S. degree from Western Carolina University, the M.A. degree from the University of North Carolina at Chapel Hill, and the Ph.D degree in Statistics from Virginia Polytechnic Institute and State university. She is a Danforth Associate and is a recipient of the Radford University Foundation Award for Excellence in Teaching. Dr. Milton is the author of Statistical Methods in the Biological and Health Sciences as well as Introduction to statistics, Probability with the Essential Analysis, and a first Course in the Theory of Linear Statistical Models.
"About this title" may belong to another edition of this title.
- PublisherMcGraw Hill
- Publication date2002
- ISBN 10 0071198598
- ISBN 13 9780071198592
- BindingHardcover
- Edition number4
- Number of pages1632
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Introduction to Probability and Statistics
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (Int'l Ed)
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (Int'l Ed) (Paperback)
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McGraw-Hill Education - Europe, London
(2002)
ISBN 10: 0071198598
ISBN 13: 9780071198592
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Book Description Paperback. Condition: new. Paperback. This well-respected text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory, and the authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving, so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. - References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages. - Some of the more difficult derivations have been moved to an appendix. - Discussion of Tukey's method of paired comparisons and a section on the use of tolerance limits in quality control. Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical methods. It explores the practical implications of the formal results to problem-solving. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780071198592
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (Int'l Ed) (Paperback)
Published by
McGraw-Hill Education - Europe, London
(2002)
ISBN 10: 0071198598
ISBN 13: 9780071198592
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Paperback
Quantity: 1
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Book Description Paperback. Condition: new. Paperback. This well-respected text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory, and the authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving, so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. - References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages. - Some of the more difficult derivations have been moved to an appendix. - Discussion of Tukey's method of paired comparisons and a section on the use of tolerance limits in quality control. Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical methods. It explores the practical implications of the formal results to problem-solving. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780071198592
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