LEADER 05740nam 22006615 450 001 9910437873803321 005 20251116201911.0 010 $a1-4614-6227-4 024 7 $a10.1007/978-1-4614-6227-9 035 $a(CKB)2670000000336372 035 $a(EBL)1082108 035 $a(OCoLC)826122635 035 $a(SSID)ssj0000879883 035 $a(PQKBManifestationID)11484778 035 $a(PQKBTitleCode)TC0000879883 035 $a(PQKBWorkID)10872873 035 $a(PQKB)11131019 035 $a(DE-He213)978-1-4614-6227-9 035 $a(MiAaPQ)EBC6311909 035 $a(MiAaPQ)EBC1082108 035 $a(Au-PeEL)EBL1082108 035 $a(CaPaEBR)ebr10968984 035 $a(PPN)168304937 035 $a(EXLCZ)992670000000336372 100 $a20130125d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aUnderstanding Statistics Using R /$fby Randall Schumacker, Sara Tomek 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (296 p.) 300 $aIncludes index. 311 08$a1-4614-6226-6 327 $aR Fundamentals -- Probability -- Statistical Theory -- Frequency Distributions -- Central Tendency and Dispersion -- Statistical Distributions -- Hypothesis Testing -- Chi-Square Test -- z-test -- t-test -- F-test -- Correlation -- Linear Regression -- Replication of Results -- Synthesis of Findings -- Glossary -- Appendix -- Author Index -- Subject Index. 330 $aThis 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 campus-based lab." - David Walker, Northern Illinois University . 606 $aStatistics 606 $aR (Computer program language) 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aStatistics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/S0000X 615 0$aStatistics. 615 0$aR (Computer program language) 615 14$aStatistics and Computing/Statistics Programs. 615 24$aStatistics for Social Sciences, Humanities, Law. 615 24$aStatistics, general. 676 $a519.502855133 700 $aSchumacker$b Randall$4aut$4http://id.loc.gov/vocabulary/relators/aut$0144979 702 $aTomek$b Sara$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437873803321 996 $aUnderstanding Statistics Using R$92503226 997 $aUNINA