Description
Taylor and Francis Introduction To Statistical Concepts 4Th Edition 2020 Edition by Richard G Lomax, Debbie L. Hahs-Vaughn, Debbie L. Hahs-Vaughn, Richard G. Lomax
The new edition of An Introduction to Statistical Concepts is designed to help students really understand statistical concepts, the situations in which they can be used, and how to apply them to data. Hahs-Vaughn and Lomax discuss the most popular, along with many of the lesser-known, procedures and models, whilst also exploring nonparametric procedures used when standard assumptions are violated. They provide in-depth coverage of testing assumptions and highlight several online tools for computing statistics (e.g., effect sizes and their confidence intervals and power). This comprehensive, flexible, and accessible text includes a new chapter on mediation and moderation; expanded coverage of effect sizes; and discussions of sensitivity, specificity, false positive, and false negative, along with using the receiver operator characteristic (ROC) curve. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R.This book, noted for its crystal-clear explanations, and its inclusion of only the most crucial equations, is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral disciplines-from education, business, communication, exercise science, psychology, sociology . PrefaceAcknowledgements1. INTRODUCTION2. DATA REPRESENTATION3. UNIVARIATE POPULATION PARAMETERS AND SAMPLE STATISTICS4. THE NORMAL DISTRIBUTION AND STANDARD SCORES5. INTRODUCTION TO PROBABILITY AND SAMPLE STATISTICS6. INTRODUCTION TO HYPOTHESIS TESTING: INFERENCES ABOUT A SINGLE MEAN7. INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO MEANS8. INFERENCES ABOUT PROPORTIONS9. INFERENCES ABOUT VARIANCES10. BIVARIATE MEASURES OF ASSOCIATION11. ONE-FACTOR ANALYSIS OF VARIANCE - FIXED-EFFECTS MODEL12. MULTIPLE COMPARISON PROCEDURES13. FACTORIAL ANALYSIS OF VARIANCE - FIXED-EFFECTS MODEL14. INTRODUCTION TO ANALYSIS OF COVARIANCE: THE ONE-FACTOR FIXED-EFFECTS MODEL WITH A SINGLE COVARIATE15. RANDOM- AND MIXED-EFFECTS ANALYSIS OF VARIANCE MODELS16. HIERARCHICAL AND RANDOMIZED BLOCK ANALYSIS OF VARIANCE MODELS17. SIMPLE LINEAR REGRESSION18. MULTIPLE LINEAR REGRESSION19. LOGISTIC REGRESSION 20. MEDIATION AND MODERATIONAppendix: Tables