Statistics for the behavioral sciences Frederick J Gravetter, Larry B. Wallnau.
Detalles de publicación: Belmont, CA Wadsworth Cengage Learning c2013.Edición: Ninth EditionDescripción: xxi, 767 p. ill. 26 cmISBN:- 9781111830991 (hbk.)
- 1111830991 (hbk.)
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
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| Libro | Biblioteca Mons. Iñaki Mallona (Arecibo) Colección General ab | 519.5 G775s9 (Navegar estantería(Abre debajo)) | Disponible | 60000010152202 |
Descripciones mejoradas de Syndetics:
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, 9th 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.
Includes bibliographical references (p. 755-759) and index.
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
- 8 Introduction to Hypothesis Testing
- Part III Using t Statistics For Inferences About Population Means and Mean Differences
- 9 Introduction to the t Statistic
- 10 The t Test for Two Independent Samples
- 11 The t Test for Two Related Samples
- Part IV Analysis of Variance: Tests For Differences Among Two or More Population Means
- 12 Introduction to Analysis of Variance
- 13 Repeated-Measures Analysis of Variance (ANOVA)
- 14 Two-Factor Analysis of Variance (Independent Measures)
- Part V Correlations and Non-Parametric Tests
- 15 Correlation
- 16 Introduction to Regression
- 17 The Chi-Square Statistic: Tests for Goodness of Fit and Independence
- 18 The Binomial Test
- 19 Choosing the Right Statistics