Randall Schumacker, Sara Tomek

Understanding Statistics Using R

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4899-9690-9
• 2013
• Seitenzahl: 308
• Erscheinungstermin: 8. Februar 2015
• Englisch
• Abmessung: 235mm x 155mm x 17mm
• Gewicht: 492g
• ISBN-13: 9781489996909
• ISBN-10: 1489996907
• Artikelnr.: 42210169

Autorenporträt

Randall E. Schumacker is Professor of Educational Research in the Department of Educational Studies in Psychology, Research Methodology & Counseling at the University of Alabama, USA. Sara Tomek is Assistant Professor of Educational Research in the Department of Educational Studies in Psychology, Research Methodology & Counseling at the University of Alabama, USA. 

Inhaltsangabe

R 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.

Rezensionen

From the reviews:

"This book is organized in a methodical manner. ... each chapter ends with a sample output so readers can check their own R code and true/false questions to test readers' knowledge. ... this is a well-done book that will be useful for self-learners or specialists in application areas who can use it as a practical source for statistical analysis, as well as the source of R code for libraries." -- Mike Minkoff, Computing Reviews, August, 2013