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Introductory Statistics : a Conceptual Approach Using R.

This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the con...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ware, William B.
Otros Autores: Ferron, John M., Miller, Barbara M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Taylor and Francis, 2013.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Introductory Statistics :  |b a Conceptual Approach Using R. 
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505 0 |a Introductory Statistics: A Conceptual Approach Using R; Copyright; Contents; List of Illustrations; Preface; Part I; 1 Introduction and Background; Patr II Descriptive Statistics; 2 Describing Quantitative Data with Frequency Distributions; 3 Describing Quantitative Data: Summary Statistics; 4 Describing Categorical Data: Frequency Distributions, Graphics, and Summary Statistics; 5 Describing the Position of a Case within a Set of Scores; 6 Describing the Relationship between Two Quantitative Variables: Correlation; 7 Describing the Relationship between Two Quantitative Variables: Regression. 
505 8 |a Part III The Fundamentals of Statistical Inference8 The Essentials of Probability; 9 Probability and Sampling Distributions; 10 The Normal Distribution; Part IV Statistical Inference; 11 The Basics of Statistical Inference: Tests of Location; 12 Other One-Sample Tests for Location; 13 More One-Sample Tests; 14 Two-Sample Tests of Location; 15 Other Two-Sample Tests: Variability and Relationships; Part V k-Sample Tests; 16 Tests on Location: Analysis of Variance and Other Selected Procedures; 17 Multiple Comparison Procedures; 18 Looking Back ... and Beyond; Appendix A-Statistical Tables. 
505 8 |a Appendix B-An Introduction to RSubject Index; Author Index. 
520 |a This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the p. 
588 0 |a Print version record. 
504 |a Includes bibliographical references and indexes. 
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700 1 |a Ferron, John M. 
700 1 |a Miller, Barbara M. 
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