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Statistical analysis in simple steps using R/ by Kiran Pandya,Prashant Joshi and Smruti Bulsari

Contributor(s): Material type: TextTextPublication details: New Delhi, India ; Thousand Oask, California: SAGE, 2018.Description: xxiv,307, B-2, I-5 p. : illu. 25 cmISBN:
  • 9789352807109
Subject(s): DDC classification:
  • 005.550 PAN/S PAN/S
Summary: An open and dynamic software for statistical analysis, R has become increasingly popular among students and researchers alike for its powerful language and graphical abilities. This book incorporates a step-by-step approach to the basics of statistical tests, the prerequisites and assumptions, the procedures, and outputs and their interpretation all through the lens of R. It is a concise guide to procuring and using R, identifying the types of tests to examine different types of research questions, and the sequential steps for undertaking statistical analysis. Intended largely for readers who are new to statistics or R or to both, this textbook addresses the problems in statistical analysis often faced by the students of social science, education, and management.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Study Centre Alappuzha, University of Kerala Study Centre Alappuzha, University of Kerala 005.550 PAN/S (Browse shelf(Opens below)) Available USCA4660


An open and dynamic software for statistical analysis, R has become increasingly popular among students and researchers alike for its powerful language and graphical abilities. This book incorporates a step-by-step approach to the basics of statistical tests, the prerequisites and assumptions, the procedures, and outputs and their interpretation all through the lens of R. It is a concise guide to procuring and using R, identifying the types of tests to examine different types of research questions, and the sequential steps for undertaking statistical analysis. Intended largely for readers who are new to statistics or R or to both, this textbook addresses the problems in statistical analysis often faced by the students of social science, education, and management.

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