Daniel Larose
Discovering Statistics
Buch
Dan Larose's Discovering Statistics is the ideal text for instructors who want to teach the basics of statistical computation as well as how to interpret and apply the results of those computations. Using real data, contemporary examples, step-by-step solutions, extensive pedagogy, and support for common statistical software options, the text familiarizes students with essential computational skills, while helping them build the conceptual understanding needed to interpret and explain their findings.Discovering Statistics strikes the ideal balance of conceptual application and computational understanding to develop students' statistical sense…
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Beschreibung
Dan Larose's Discovering Statistics is the ideal text for instructors who want to teach the basics of statistical computation as well as how to interpret and apply the results of those computations. Using real data, contemporary examples, step-by-step solutions, extensive pedagogy, and support for common statistical software options, the text familiarizes students with essential computational skills, while helping them build the conceptual understanding needed to interpret and explain their findings.Discovering Statistics strikes the ideal balance of conceptual application and computational understanding to develop students' statistical sense and enable them to discover the statistician within. The new edition includes new and updated exercises, examples, and samples of real data, as well as an expanded range of media tools for students and instructors. This textbook is also available on LaunchPad.
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Produktdetails
- ISBN: 978-1-4641-4200-0
- EAN: 9781464142000
- Produktnummer: 22502310
- Verlag: Macmillan International Higher Education
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Masse: 1 Ex.; H28.7 cm x B22.4 cm x D4.0 cm 2'078 g
- Auflage: 3. A.
- Abbildungen: Book
- Gewicht: 2078
- Sonstiges: General (US: Trade)
Über den Autor
Daniel T. Larose is Professor of Statistics in the Department of Mathematical Sciences at Central Connecticut State University. During his time there, he designed, developed, and directs the world's first online Master of Science degree in data mining. He has published books on data mining, and is a consultant in statistics and data mining.
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