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Discovering Statistics
Daniel Larose
€ 78.99
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Description for Discovering Statistics
Hardcover. Num Pages: 912 pages. BIC Classification: PBT. Category: (G) General (US: Trade). Weight in Grams: 454.
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 ... Read more
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 ... Read more
Product Details
Publisher
W.H.Freeman & Co Ltd United States
Number of pages
912
Format
Hardback
Publication date
2015
Condition
New
Weight
2078g
Place of Publication
New York, United States
ISBN
9781464142000
SKU
V9781464142000
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-5
About Daniel Larose
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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