The Resource Understanding statistics using R, Randall Schumacker, Sara Tomek
Understanding statistics using R, Randall Schumacker, Sara Tomek
Resource Information
The item Understanding statistics using R, Randall Schumacker, Sara Tomek represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Understanding statistics using R, Randall Schumacker, Sara Tomek represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials. The book contains R script programs to demonstrate important topics and concepts covered in a statistics course, including probability, random sampling, population distribution types, role of the Central Limit Theorem, creation of sampling distributions for statistics, and more. The chapters contain T/F quizzes to test basic knowledge of the topics covered. In addition, the book chapters contain numerous exercises with answers or solutions to the exercises provided. The chapter exercises reinforce an understanding of the statistical concepts presented in the chapters. An instructor can select any of the supplemental materials to enhance lectures and/or provide additional coverage of concepts and topics in their statistics book. This book uses the R statistical package which contains an extensive library of functions. The R software is free and easily downloaded and installed. The R programs are run in the R Studio software which is a graphical user interface for Windows. The R Studio software makes accessing R programs, viewing output from the exercises, and graphical displays easier to manage. The first chapter of the book covers the fundamentals of the R statistical package. This includes installation of R and R Studio, accessing R packages and libraries of functions. The chapter also covers how to access manuals and technical documentation, as well as, basic R commands used in the R script programs in the chapters. This chapter is important for the instructor to master so that the software can be installed and the R script programs run. The R software is free so students can also install the software and run the R script programs in the chapters. Teachers and students can run the R software on university computers, at home, or on laptop computers making it more available than many commercial software packages. "As a professor who teaches research methods and advises master and doctoral students, I am often seeking practical resource materials that students can use in their research. This book provides easy to run R examples that allow students to pick and choose content that is relevant to their research. When students learn that the cost for running R is free, they are especially happy!"Kim Nimon, University of North Texas "The authors have done a great job of providing resource materials an instructor can use when teaching a statistics course. Strengths of the book are the inclusion of R code, the addition of more than 60 script programs, and the online exercise materials for students. This book reflects the growing use of the mobile R software program for students who may not always have access to other statistical software packages housed on computers in a campusbased lab."David Walker, Northern Illinois University
 Language
 eng
 Extent
 1 online resource (xvi, 289 pages)
 Contents

 zTest
 tTest
 FTest
 Correlation
 Linear Regression
 Replication of Results
 Synthesis of Findings
 R Fundamentals
 Probability
 Statistical Theory
 Frequency Distributions
 Central Tendency and Dispersion
 Statistical Distributions
 Hypothesis Testing
 ChiSquare Test
 Isbn
 9781461462286
 Label
 Understanding statistics using R
 Title
 Understanding statistics using R
 Statement of responsibility
 Randall Schumacker, Sara Tomek
 Subject

 Computer simulation.
 Electronic books
 Electronic bookss
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Models and Principles.
 Probability and Statistics in Computer Science.
 R (Computer program language)
 R (Computer program language)
 R (Computer program language)
 Simulation and Modeling.
 Statistics as Topic
 Computer science.
 Language
 eng
 Summary
 This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials. The book contains R script programs to demonstrate important topics and concepts covered in a statistics course, including probability, random sampling, population distribution types, role of the Central Limit Theorem, creation of sampling distributions for statistics, and more. The chapters contain T/F quizzes to test basic knowledge of the topics covered. In addition, the book chapters contain numerous exercises with answers or solutions to the exercises provided. The chapter exercises reinforce an understanding of the statistical concepts presented in the chapters. An instructor can select any of the supplemental materials to enhance lectures and/or provide additional coverage of concepts and topics in their statistics book. This book uses the R statistical package which contains an extensive library of functions. The R software is free and easily downloaded and installed. The R programs are run in the R Studio software which is a graphical user interface for Windows. The R Studio software makes accessing R programs, viewing output from the exercises, and graphical displays easier to manage. The first chapter of the book covers the fundamentals of the R statistical package. This includes installation of R and R Studio, accessing R packages and libraries of functions. The chapter also covers how to access manuals and technical documentation, as well as, basic R commands used in the R script programs in the chapters. This chapter is important for the instructor to master so that the software can be installed and the R script programs run. The R software is free so students can also install the software and run the R script programs in the chapters. Teachers and students can run the R software on university computers, at home, or on laptop computers making it more available than many commercial software packages. "As a professor who teaches research methods and advises master and doctoral students, I am often seeking practical resource materials that students can use in their research. This book provides easy to run R examples that allow students to pick and choose content that is relevant to their research. When students learn that the cost for running R is free, they are especially happy!"Kim Nimon, University of North Texas "The authors have done a great job of providing resource materials an instructor can use when teaching a statistics course. Strengths of the book are the inclusion of R code, the addition of more than 60 script programs, and the online exercise materials for students. This book reflects the growing use of the mobile R software program for students who may not always have access to other statistical software packages housed on computers in a campusbased lab."David Walker, Northern Illinois University
 Cataloging source
 GW5XE
 http://library.link/vocab/creatorName
 Schumacker, Randall E
 Dewey number
 519.50285
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA276.45.R3
 LC item number
 S38 2013
 Literary form
 non fiction
 Nature of contents
 dictionaries
 NLM call number
 Online Book
 http://library.link/vocab/relatedWorkOrContributorName
 Tomek, Sara
 http://library.link/vocab/subjectName

 Mathematical statistics
 R (Computer program language)
 Statistics as Topic
 Mathematical statistics
 R (Computer program language)
 Label
 Understanding statistics using R, Randall Schumacker, Sara Tomek
 Antecedent source
 unknown
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 zTest
 tTest
 FTest
 Correlation
 Linear Regression
 Replication of Results
 Synthesis of Findings
 R Fundamentals
 Probability
 Statistical Theory
 Frequency Distributions
 Central Tendency and Dispersion
 Statistical Distributions
 Hypothesis Testing
 ChiSquare Test
 Control code
 826122635
 Dimensions
 unknown
 Extent
 1 online resource (xvi, 289 pages)
 File format
 unknown
 Form of item
 online
 Isbn
 9781461462286
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9781461462279
 Other physical details
 illustrations
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)826122635
 Label
 Understanding statistics using R, Randall Schumacker, Sara Tomek
 Antecedent source
 unknown
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 zTest
 tTest
 FTest
 Correlation
 Linear Regression
 Replication of Results
 Synthesis of Findings
 R Fundamentals
 Probability
 Statistical Theory
 Frequency Distributions
 Central Tendency and Dispersion
 Statistical Distributions
 Hypothesis Testing
 ChiSquare Test
 Control code
 826122635
 Dimensions
 unknown
 Extent
 1 online resource (xvi, 289 pages)
 File format
 unknown
 Form of item
 online
 Isbn
 9781461462286
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9781461462279
 Other physical details
 illustrations
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)826122635
Subject
 Computer simulation.
 Electronic books
 Electronic bookss
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Models and Principles.
 Probability and Statistics in Computer Science.
 R (Computer program language)
 R (Computer program language)
 R (Computer program language)
 Simulation and Modeling.
 Statistics as Topic
 Computer science.
Genre
Library Links
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/UnderstandingstatisticsusingRRandall/4Uih2I1xdWg/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/UnderstandingstatisticsusingRRandall/4Uih2I1xdWg/">Understanding statistics using R, Randall Schumacker, Sara Tomek</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>