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.
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"The writing style and clarity... is simply the best that I have seen. Both simple and complex ideas are covered in a very approachable manner... I find its coverage of ANOVA to be the best available." – Tim Konold Department of Leadership, Foundations & Policy, University of Virginia
"The best thing about the Lomax text is that students find it readable. It helps them understand and learn statistics... Another valuable property... is the flexibility... When I use the text ...I require students to read chapters 13-18. Chapters 1-12 are there for students who want to review material... [It is] suitable for any introductory course – undergraduate or graduate." - L. Suzanne Dancer Department of Educational Psychology, University of Texas, Austin
"The thing that most drew me to this text was that it properly covers everything from the basics... to ANOVA and regression without really skimping on anything. This allows me to pick and choose for my own course, and still give the students access to the background." - Douglas C. Maynard Department of Psychology, SUNY New Paltz
Topics in this volume include: data representation; univariate population parameters and sample statistics; the normal distribution and standard scores; introduction to probability and sample statistics; and introduction to Hypothesis Testing - Inferences About a Single Mean.
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