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. 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 and more.
Probability & Statistical Concepts: an Introduction
Durbin, I., & Watson, G. S. (1971). Testing for serial correlation in least squares regression, III. Biometrika, 58, 1—19. Elashoff, I. D. (1969). Analysis of covariance: A delicate instrument. American Educational Research Iournal, 6, ...
The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics.
Providing accessible and comprehensive coverage of topics suitable for an undergraduate or graduate course in statistics, this book is an invaluable resource for students undertaking an introductory course in statistics in any number of ...
Without the wolf, many predator–prey dynamics had changed, with one prominent consequence being an explosion of the elk population. As a result, much of the vegetation in the park was consumed, resulting in obvious changes, ...
This book presents some of the most important modeling and prediction techniques, along with relevant applications.
In this new edition, Hahs-Vaughn and Lomax discuss sensitivity, specificity, false positive and false negative errors.
Along with carefully placed reading questions, this edition includes learning objectives, realistic research scenarios, practice problems, self-test questions, problem sets, and practice tests to help students become more confident in their ...
... (6) part and partial correlations, (7) collinearity diagnostics, (8) Durbin-Watson, and (9) Casewise diagnostics. For this example, we apply an alpha level of .05, thus we will leave the default confidence interval percentage at 95.
INVESTIGATING STATISTICAL CONCEPTS, APPLICATIONS, AND METHODS (WITH CD-ROM) combines investigation and exposition to explore statistical ideas and techniques.