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T�tulo: Statistics (the Easier Way) with R, 2nd Ed ...

Editorial: Lapis Lucera

A�o de publicaci�n: 2017

Encuadernaci�n: Encuadernaci�n de tapa blanda

Condici�n: Like New

Edici�n: 2� Edici�n

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Sinopsis:

Designed for beginning and intermediate data scientists, graduate students starting research, undergraduate students taking a first or second applied statistics class, quality improvement professionals, and consultants, this unique book provides an integrated treatment of statistical inference techniques in data science using the R Statistical Software. Each technique is framed within an easy-to-apply 7 Step methodology.

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Nicole Radziwill is an Associate Professor in the Department of Integrated Science and Technology (ISAT) at James Madison University (JMU) in Harrisonburg, Virginia. She is a Fellow of the American Society for Quality (ASQ) and is a Certified Six Sigma Black Belt (CSSBB) and Certified Manager of Quality and Organizational Excellence (CMQ/OE). She has a Ph.D. in Quality Systems, and her research uses data science to explore Quality 4.0: quality and innovation in intelligent automation and cyber-human production systems. She is one of ASQ's Influential Voices and blogs at http://qualityandinnovation.com.

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Statistics (the Easier Way) with R, 2nd Ed An Informal Text on Applied Statistics and Data Science

Radziwill, N. M.

Usado - Encuadernaci�n de tapa blanda

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