An Introduction to Statistical Concepts for Education and Behavioral Sciences

This book provides comprehensive coverage so that it can be used in a single- or two-course sequence in statistics. It provides greater flexibility because it contains many topics not dealt with in other introductory texts. Its conceptual, intuitive approach allows for concepts to be easily stated and related to real-life examples. Throughout the text the author demonstrates how many statistical concepts can be related to one another. Unlike other texts, this book includes the following topics: \* skewness and kurtosis measures; \* inferences about two dependent proportions and two independent means with unequal variances; \* homogeneity of variance tests; \* layout of the data in ANOVA models; \* the ANOVA linear model; \* a wide variety of multiple comparison procedures; \* significance tests in multiple linear regression; and \* extensive discussion of assumptions and how to deal with assumption violations. Numerous tables and figures help illustrate concepts and present examples within the text. An extensive bibliography is included. A number of pedagogical devices are included to increase the reader's conceptual understanding of statistics: chapter outlines; list of key concepts for each chapter; chapter objectives; numerous realistic examples; summary tables of statistical assumptions; extensive references; and end of chapter conceptual and computational problems. An instructor's manual is available containing answers to all of the problems, as well as a collection of statistical humor designed to be an instructional aid. This book is intended for introductory statistics courses for students in education and behavioral sciences.