Hahs-Vaughn, Debbie L, Lomax, Richard G
Description
This book provides comprehensive coverage so that it can be used in a single- or two-course sequence in statistics. It provides greater flexibility be
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cause 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.
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