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Basic Statistics : An Introduction with R by George A. Marcoulides and Tenko Raykov (2012, Trade Paperback)
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About this product
Product Identifiers
PublisherRowman & Littlefield Publishers, Incorporated
ISBN-101442218479
ISBN-139781442218475
eBay Product ID (ePID)117125124
Product Key Features
Number of Pages344 Pages
LanguageEnglish
Publication NameBasic Statistics : an Introduction with R
SubjectProgramming Languages / General, Probability & Statistics / General, Statistics
Publication Year2012
TypeTextbook
Subject AreaMathematics, Computers, Social Science, Education, Psychology
AuthorGeorge A. Marcoulides, Tenko Raykov
FormatTrade Paperback
Dimensions
Item Height0.9 in
Item Weight25 Oz
Item Length9.8 in
Item Width6.9 in
Additional Product Features
Intended AudienceCollege Audience
Dewey Edition23
ReviewsRaykov (Michigan State Univ.) and Marcoulides (Univ. of California, Riverside) continue their tradition of writing introductory, informative texts in the quantitative area. Their earlier works include Introduction to Psychometric Theory (2011), An Introduction to Applied Multivariate Analysis (2008), and A First Course in Structural Equation Modeling (2006). The authors' latest text provides excellent coverage of topics normally addressed in a one- or two-semester statistics course sequence through use of R, a freely available, widely used software package. The book is organized into 15 chapters, beginning with "Statistics and Data." Other chapters cover random sampling, probability, inferences, linear regression, variance and covariance, and more. Most first-time statistics students fear not only the rigor of the discipline but also the complexity of most statistical packages because of their numerous commands and subcommands. R, on the other hand, focuses more on commands than subcommands. This text is unique in that it approaches fundamental statistical concepts by engaging R's very basic, straightforward commands. The authors feel that this approach provides students with a more thorough and comprehensive understanding of the most essential concepts necessary in such disciplines as the social sciences, business, education, and medicine. Summing Up: Highly recommended. Lower-division undergraduates through professionals/practitioners., This is an excellent and thorough introduction to statistical analysis. It is easy to follow and provides complete coverage of key concepts in introductory courses. This book will be useful and popular across various fields including the health sciences, management, and social sciences., Raykov (Michigan State Univ.) and Marcoulides (Univ. of California, Riverside) continue their tradition of writing introductory, informative texts in the quantitative area. Their earlier works include Introduction to Psychometric Theory (2011), An Introduction to Applied Multivariate Analysis (2008), and A First Course in Structural Equation Modeling (2006). The authors' latest text provides excellent coverage of topics normally addressed in a one- or two-semester statistics course sequence through use of R, a freely available, widely used software package. The book is organized into 15 chapters, beginning with "Statistics and Data." Other chapters cover random sampling, probability, inferences, linear regression, variance and covariance, and more. Most first-time statistics students fear not only the rigor of the discipline but also the complexity of most statistical packages because of their numerous commands and subcommands. R, on the other hand, focuses more on commands than subcommands. This text is unique in that it approaches fundamental statistical concepts by engaging R's very basic, straightforward commands. The authors feel that this approach provides students with a more thorough and comprehensive understanding of the most essential concepts necessary in such disciplines as the social sciences, business, education, and medicine. Summing Up: Highly recommended. Lower-division undergraduates through professionals/practitioners. commands. This text is unique in that it approaches fundamental statistical concepts by engaging R's very basic, straightforward commands. The authors feel that this approach provides students with a more thorough and comprehensive understanding of the most essential concepts necessary in such disciplines as the social sciences, business, education, and medicine. Summing Up: Highly recommended. Lower-division undergraduates through professionals/practitioners. commands. This text is unique in that it approaches fundamental statistical concepts by engaging R's very basic, straightforward commands. The authors feel that this approach provides students with a more thorough and comprehensive understanding of the most essential concepts necessary in such disciplines as the social sciences, business, education, and medicine. Summing Up: Highly recommended. Lower-division undergraduates through professionals/practitioners. commands. This text is unique in that it approaches fundamental statistical concepts by engaging R's very basic, straightforward commands. The authors feel that this approach provides students with a more thorough and comprehensive understanding of the most essential concepts necessary in such disciplines as the social sciences, business, education, and medicine. Summing Up: Highly recommended. Lower-division undergraduates through professionals/practitioners., Raykov and Marcoulides are able to seamlessly demonstrate how to run statistical analyses such as ANOVA and multiple regression in R, avoiding the steep learning curve that students working for the first time with R usually face. Their presentation of statistical concepts is easy to follow, and the R examples are appropriate for students who have never used a statistical software before., Raykov and Marcoulides are able to seamlessly demonstrate how to run statistical analyses such as ANOVA and multiple regression in R, avoiding the steep learning curve that students working for the first time with R usually face. Their presentation of statistical concepts is easy to follow, and the R examples are appropriate for students who have never used statistical software before., Raykov (Michigan State Univ.) and Marcoulides (Univ. of California, Riverside) continue their tradition of writing introductory, informative texts in the quantitative area. Their earlier works include Introduction to Psychometric Theory (2011), An Introduction to Applied Multivariate Analysis (2008), and A First Course in Structural Equation Modeling (2006). The authors' latest text provides excellent coverage of topics normally addressed in a one- or two-semester statistics course sequence through use of R, a freely available, widely used software package. The book is organized into 15 chapters, beginning with "Statistics and Data." Other chapters cover random sampling, probability, inferences, linear regression, variance and covariance, and more. Most first-time statistics students fear not only the rigor of the discipline but also the complexity of most statistical packages because of their numerous commands and subcommands. R, on the other hand, focuses more on commands than subcommands. This text is unique in that it approaches fundamental statistical concepts by engaging R's very basic, straightforward commands. The authors feel that this approach provides students with a more thorough and comprehensive understanding of the most essential concepts necessary in such disciplines as the social sciences, business, education, and medicine. Summing Up: Highly recommended. Lower-division undergraduates through professionals/practitioners. commands. This text is unique in that it approaches fundamental statistical concepts by engaging R's very basic, straightforward commands. The authors feel that this approach provides students with a more thorough and comprehensive understanding of the most essential concepts necessary in such disciplines as the social sciences, business, education, and medicine. Summing Up: Highly recommended. Lower-division undergraduates through professionals/practitioners.
Grade FromCollege Freshman
Dewey Decimal519.5
Grade ToCollege Graduate Student
SynopsisBasic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This concise book: Teaches essential concepts in statistics, assuming little background knowledge on the part of the reader Introduces students to R with as few sub-commands as possible for ease of use Provides practical examples from the educational, behavioral, and social sciences With clear explanations of statistical processes and step-by-step commands in R, Basic Statistics will appeal to students and professionals across the social and behavioral sciences., Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R.This concise book:·Teaches essential concepts in statistics, assuming little background knowledge on the part of the reader·Introduces students to R with as few sub-commands as possible for ease of use·Provides practical examples from the educational, behavioral, and social sciencesWith clear explanations of statistical processes and step-by-step commands in R, Basic Statistics will appeal to students and professionals across the social and behavioral sciences., Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This concise book: -Teaches essential concepts in statistics, assuming little background knowledge on the part of the reader -Introduces students to R with as few sub-commands as possible for ease of use -Provides practical examples from the educational, behavioral, and social sciences With clear explanations of statistical processes and step-by-step commands in R, Basic Statistics will appeal to students and professionals across the social and behavioral sciences., Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using the powerful software program R.
LC Classification NumberQA276.45.R3R39 2013
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