A book that focuses on the logic behind the concepts of statistics for psychology, using definitional formulas rather than emphasizing rote memorization. Clearly written, each procedure is conveyed both numerically and verbally, with many visual examples to illustrate the text. It takes the reader from basic procedures through analysis of variance (ANOVA), and not only teaches statistics, but also prepares the user to read and understand research articles as well. This book is an introduction to statistics for psychology, covering such topics as order in a group of numbers; mean, variance, standard deviation, and Z scores; correlation; prediction; the normal curve, probability, and population versus sample; hypothesis testing; the t test; analysis of variance; chi-square tests; the general linear model; and making sense of advanced statistical procedures in research articles. For statisticians, psychologists and those involved in psychological research in the behavioral and social sciences.

From the Publisher

Class-tested and developed over two decades, the material for this innovative text reflects recent changes in both research practice and in the teaching of statistics for psychology: 1) Statistics are done by computer, not by hand, so the text stresses deep understanding, not brief explanation followed by the usual plugging numbers into formulas. 2) The majority of psychology majors are human-and word-oriented, not math-oriented, so this text employs their way of learning--for example, requiring them to put what they learn into words lay persons can understand.

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