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This Instructor's Manual consists of two parts, each arranged in the order in which the chapters appear in the text. The first part is a collection of over 500 test questions; the second gives answers to the questions in the Student Work book. Clearly, the Instructor's Manual should never be shown to students. Great care should be taken to see that no student (except a graduate assistant who needs it for scoring papers) ever gets to borrow it or, worse yet, to "borrow" it. Most of the test questions are multiple choice, but some matehing exercises are also included. Within each chapter, the multiple choice items are givenfirst. The text page on which the answer is found is given in ( ) at the right of the problem. The answer is indicated by a + sign at the left of the correct item alternative. In some items, parts of the item, especially in the wrong alternatives, may not appear untillater chapters. Such questions are clearly labelIed LATER by using LATER in place of a +and should not be used until all the material in them has been covered. They are OK for final examinations and for some rnidterm examinations, but they obviously cannot be used in their present form assoon as their prirnary topic has been covered in class. Tell your typist that when she prepares one of your tests, she should omit +, LATER, the parenthetical page numbers, and, of course, the answers to all matehing items.
Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs. The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests. Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters. New to the second edition: Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual