An Introduction to Statistical Concepts
by Debbie L. Hahs-Vaughn, Richard Lomax
4th Edition
Publisher: Routledge
Book Details
| Print ISBN | 9781138650558 |
| eText ISBN | 9781317228721 |
| Publisher | Routledge |
| Publishing Year | 2020 |
| Edition | 4th Edition |
| Language | English |
| Pages | 1186 |
An Introduction to Statistical Concepts, 4th Edition, provides systematic instruction in foundational and intermediate quantitative methods. The textbook explains core statistical principles and demonstrates how to apply quantitative procedures to empirical research.
Coverage addresses data representation, probability, and hypothesis testing for single means, two-group differences, proportions, and variances. The volume also examines bivariate association, multiple comparison procedures, one-factor and factorial analysis of variance, and multiple regression models.
Designed for students in social and behavioral science fields such as education, psychology, sociology, and business, each chapter opens with a concrete research scenario to contextualize the featured method.
Table of Contents
Chapter 1: INTRODUCTION
Chapter 2: DATA REPRESENTATION
Chapter 3: UNIVARIATE POPULATION PARAMETERS AND SAMPLE STATISTICS
Chapter 4: THE NORMAL DISTRIBUTION AND STANDARD SCORES
Chapter 5: INTRODUCTION TO PROBABILITY AND SAMPLE STATISTICS
Chapter 6: INTRODUCTION TO HYPOTHESIS TESTING: INFERENCES ABOUT A SINGLE MEAN
Chapter 7: INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO MEANS
Chapter 8: INFERENCES ABOUT PROPORTIONS
Chapter 9: INFERENCES ABOUT VARIANCES
Chapter 10: BIVARIATE MEASURES OF ASSOCIATION
Chapter 11: ONE-FACTOR ANALYSIS OF VARIANCE – FIXED-EFFECTS MODEL
Chapter 12: MULTIPLE COMPARISON PROCEDURES
Chapter 13: FACTORIAL ANALYSIS OF VARIANCE – FIXED-EFFECTS MODEL
Chapter 14: INTRODUCTION TO ANALYSIS OF COVARIANCE: THE ONE-FACTOR FIXED-EFFECTS MODEL WITH A SINGLE COVARIATE
Chapter 15: RANDOM- AND MIXED-EFFECTS ANALYSIS OF VARIANCE MODELS
Chapter 16: HIERARCHICAL AND RANDOMIZED BLOCK ANALYSIS OF VARIANCE MODELS
Chapter 17: SIMPLE LINEAR REGRESSION
Chapter 18: MULTIPLE LINEAR REGRESSION
Chapter 19: LOGISTIC REGRESSION
Chapter 20: MEDIATION AND MODERATION
Chapter Appendix: Tables
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