Instructor's Guide for Introduction to Statistical Concepts for Education and the Behavioral Sciences

Description

This new book provides comprehensive coverage so that it can be used in a single- or two-course sequence in statistics. It provides greater flexibility than any text currently on the market because it contains many topics not dealt with in other introductory texts. The book's 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. This differs from the programmed, computational, cookbook approach where the most important feature of any procedure is the formula.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 as well as computational problems.Additional Copy for Mailer: Unlike other texts in the field, 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.There are numerous tables and figures to help illustrate concepts and present examples within the text, and an extensive bibliography is included so that the reader can go beyond the text. An instructor's manual is availablecontaining answers to all of the problems, as well as a collection of statistical humor designed to be an instructional aid.

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