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Statistical Analysis in Simple Steps Using R

by Pandya, Kiran; Joshi, Prashant;... | PB | VeryGood
US $21.22
Condition:
Very Good
Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ... Read moreabout condition
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Last updated on Oct 13, 2024 17:29:20 PDTView all revisionsView all revisions

Item specifics

Condition
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ...
Binding
Paperback
Weight
1 lbs
Product Group
Book
IsTextBook
No
ISBN
9789352807109
Subject Area
Mathematics, Social Science
Publication Name
Statistical Analysis in Simple Steps Using R
Publisher
SAGE Publications, Incorporated
Item Length
9.5 in
Subject
Probability & Statistics / General, Research
Publication Year
2018
Type
Textbook
Format
Trade Paperback
Language
English
Author
Smruti Bulsari, Prashant Joshi, Kiran Pandya
Item Weight
23.9 Oz
Item Width
7.2 in
Number of Pages
344 Pages

About this product

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
9352807103
ISBN-13
9789352807109
eBay Product ID (ePID)
24038704016

Product Key Features

Number of Pages
344 Pages
Language
English
Publication Name
Statistical Analysis in Simple Steps Using R
Subject
Probability & Statistics / General, Research
Publication Year
2018
Type
Textbook
Author
Smruti Bulsari, Prashant Joshi, Kiran Pandya
Subject Area
Mathematics, Social Science
Format
Trade Paperback

Dimensions

Item Weight
23.9 Oz
Item Length
9.5 in
Item Width
7.2 in

Additional Product Features

Intended Audience
College Audience
LCCN
2018-024397
Dewey Edition
23
Dewey Decimal
591.50285536
Table Of Content
Foreword by Dilip M NachanePrefaceAcknowledgmentsIntroductionData Management in RDescribing Data GraphicallyDescriptive StatisticsParametric TestsAnalysis of VarianceTwo-Way Analysis of VarianceAnalysis of CovarianceCorrelation AnalysisLinear Regression AnalysisNonparametric TestsPrincipal Components and Factor AnalysisLogistic RegressionCluster AnalysisMultidimensional ScalingIntroduction to Time Series AnalysisVolatility AnalysisBibliographyIndex
Synopsis
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. Key Features - Provides the necessary foundation for exploring the frontiers of data science - Gives an overview of statistical techniques applicable to both cross-section and time-series data analysis using R - Exercises provided at the end of the chapters to help the readers reinforce their learning - Applications of statistical techniques covering wide range of subject areas with examples from social sciences and medical sciences - Robust companion website that includes practice problem datasets for students and solutions to problems, chapter-wise PPTs and teaching modules for instructors, 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. Key Features * Provides the necessary foundation for exploring the frontiers of data science * Gives an overview of statistical techniques applicable to both cross-section and time-series data analysis using R * Exercises provided at the end of the chapters to help the readers reinforce their learning * Applications of statistical techniques covering wide range of subject areas with examples from social sciences and medical sciences * Robust companion website that includes practice problem datasets for students and solutions to problems, chapter-wise PPTs and teaching modules for instructors
LC Classification Number
QA276.4.P36 2018

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