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Statistics for the behavioral sciences Frederick J. Gravetter, Larry B. Wallnau.

Por: Colaborador(es): Detalles de publicación: Australia Belmont, CA Thomson/Wadsworth c2009.Edición: 8th edDescripción: xxi, 783 p. ill. 26 cmISBN:
  • 9780495602200
  • 0495602205
Tema(s): Clasificación CDD:
  • 519.50243 G7769s8
Contenidos:
Introduction to statistics -- Frequency distributions -- Central tendency -- Variability -- z-Scores: location of scores and standardized distributions -- Probability -- Probability and samples -- Introduction to hypothesis testing -- Introduction to the t statistic -- The t test for two independent samples -- The t test for two related samples -- Estimation -- Introduction to the analysis of variance -- Repeated-measures analysis of variance (ANOVA) -- Two-factor analysis of variance (independent measures) -- Correlation -- Introduction to regression -- The chi-square statistic: tests for goodness of fit and independence -- The binomial test -- Statistical techniques for ordinal data: Mann-Whitney, Wilcoxon, Kruskal Wallis, and Friedman tests -- Appendix A. Basic mathematics review -- Appendix B. Statistical tables -- Appendix C. Solutions for odd-numbered problems -- Appendix D. General instructions for using SPSS -- Statistics organizer.
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Descripciones mejoradas de Syndetics:

By far the best-selling introduction to statistics for students in the behavioral and social sciences, this text continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goal of STATISTICS FOR THE BEHAVIORAL SCIENCES, 8th Edition is to not only teach the methods of statistics, but also to convey the basic principles of objectivity and logic that are essential for science and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through Learning Checks, examples, step-by-step Demonstrations, and problems. A strong ancillary package includes PowerLecture(tm), which contains lecture slides, JoinIn(tm) Student Response System content, and a computerized test bank; Enhanced WebAssign, a complete and easy-to-use homework management system; WebTutor(tm); an Instructor's Manual/TestBank, plus other online and print resources.

Includes bibliographical references (p. 774-777) and index.

Introduction to statistics -- Frequency distributions -- Central tendency -- Variability -- z-Scores: location of scores and standardized distributions -- Probability -- Probability and samples -- Introduction to hypothesis testing -- Introduction to the t statistic -- The t test for two independent samples -- The t test for two related samples -- Estimation -- Introduction to the analysis of variance -- Repeated-measures analysis of variance (ANOVA) -- Two-factor analysis of variance (independent measures) -- Correlation -- Introduction to regression -- The chi-square statistic: tests for goodness of fit and independence -- The binomial test -- Statistical techniques for ordinal data: Mann-Whitney, Wilcoxon, Kruskal Wallis, and Friedman tests -- Appendix A. Basic mathematics review -- Appendix B. Statistical tables -- Appendix C. Solutions for odd-numbered problems -- Appendix D. General instructions for using SPSS -- Statistics organizer.

Tabla de contenidos provista por Syndetics

  • Part I Introduction And Descriptive Statistics
  • 1 Introduction to Statistics
  • 2 Frequency Distributions
  • 3 Central Tendency
  • 4 Variability
  • Part II Foundations Of Inferential Statistics
  • 5 z-Scores: Location of Scores and Standardized Distributions
  • 6 Probability
  • 7 Probability and Samples: The Distribution of Sample Means
  • Part III Inferences About Means And Mean Differences
  • 8 Introduction to Hypothesis Testing
  • 9 Introduction to the t Statistic
  • 10 The t Test for Two Independent Samples
  • 11 The t Test for Two Related Samples
  • 12 Estimation
  • 13 Introduction to Analysis of Variance
  • 14 Repeated-Measures Analysis of Variance (ANOVA)
  • 15 Two-Factor Analysis of Variance (Independent Measures)
  • Part IV Correlations And Nonparametric Tests
  • 16 Correlation
  • 17 Introduction to Regression
  • 18 The Chi-Square Statistic: Tests for Goodness of Fit and Independence
  • 19 The Binomial Test
  • 20 Statistical Techniques for Ordinal Data: Mann-Whitney, Wilcoxon, Kruskal Wallis, and Friedman Tests
  • Appendix A Basic Mathematics Review
  • Appendix B Statistical Tables
  • Appendix C Solutions for Odd-Numbered Problems
  • Appendix D General Instructions for Using SPSS
  • Statistics Organizer
  • References
  • Index
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