Statistical Methods for the Social Sciences
For courses in Statistical Methods for the Social Sciences. Statistical methods applied to social sciences, made accessible to all through an emphasis on conceptsStatistical Methods for the Social Sciencesintroduces statistical methods to students majoring in social science disciplines. With...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Harlow, England :
Pearson Education Limited
[2024]
|
| Edición: | Sixth global edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009863797006719 |
Tabla de Contenidos:
- Cover; Title Page; Copyright Page; Dedication; Contents; Preface; Acknowledgments; Global Edition Acknowledgments; 1 Introduction; 1.1 Introduction to Statistical Methodology; 1.2 Descriptive Statistics and Inferential Statistics; 1.3 The Role of Computers and Software in Statistics; 1.4 Chapter Summary; 2 Sampling and Measurement; 2.1 Variables and Their Measurement; 2.2 Randomization; 2.3 Sampling Variability and Potential Bias; 2.4 Other Probability Sampling Methods*; 2.5 Chapter Summary; 3 Descriptive Statistics; 3.1 Describing Data with Tables and Graphs.
- 3.2 Describing the Center of the Data3.3 Describing Variability of the Data; 3.4 Measures of Position; 3.5 Bivariate Descriptive Statistics; 3.6 Sample Statistics and Population Parameters; 3.7 Chapter Summary; 4 Probability Distributions; 4.1 Introduction to Probability; 4.2 Probability Distributions for Discrete and Continuous Variables; 4.3 The Normal Probability Distribution; 4.4 Sampling Distributions Describe How Statistics Vary; 4.5 Sampling Distributions of Sample Means; 4.6 Review: Population, Sample Data, and Sampling Distributions; 4.7 Chapter Summary.
- 5 Statistical Inference: Estimation5.1 Point and Interval Estimation; 5.2 Confidence Interval for a Proportion; 5.3 Confidence Interval for a Mean; 5.4 Choice of Sample Size; 5.5 Estimation Methods: Maximum Likelihood and the Bootstrap*; 5.6 Chapter Summary; 6 Statistical Inference: Significance Tests; 6.1 The Five Parts of a Significance Test; 6.2 Significance Test for a Mean; 6.3 Significance Test for a Proportion; 6.4 Decisions and Types of Errors in Tests; 6.5 Limitations of Significance Tests; 6.6 Finding P(Type II Error)*.
- 6.7 Small-Sample Test for a Proportion ;the Binomial Distribution*6.8 Chapter Summary; 7 Comparison of Two Groups; 7.1 Preliminaries for Comparing Groups; 7.2 Categorical Data: Comparing Two Proportions; 7.3 Quantitative Data: Comparing Two Means; 7.4 Comparing Means with Dependent Samples; 7.5 Other Methods for Comparing Means*; 7.6 Other Methods for Comparing Proportions*; 7.7 Nonparametric Statistics for Comparing Groups*; 7.8 Chapter Summary; 8 Analyzing Association between Categorical Variables; 8.1 Contingency Tables; 8.2 Chi-Squared Test of Independence.
- 8.3 Residuals: Detecting the Pattern of Association8.4 Measuring Association in Contingency Tables; 8.5 Association Between Ordinal Variables*; 8.6 Chapter Summary; 9 Linear Regression and Correlation; 9.1 Linear Relationships; 9.2 Least Squares Prediction Equation; 9.3 The Linear Regression Model; 9.4 Measuring Linear Association: The Correlation; 9.5 Inferences for the Slope and Correlation; 9.6 Model Assumptions and Violations; 9.7 Chapter Summary; 10 Introduction to Multivariate Relationships; 10.1 Association and Causality; 10.2 Controlling for Other Variables.
