Statistics for the Behavioral Sciences
内容简介
The best-selling introduction to statistics for students in the behavioral and social sciences, this text continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goal of STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition is to not only teach the methods of statistics, but also to convey the basic principles of objectivity and logic that are essential for science and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through learning checks, examples, step-by-step demonstrations, and problems.
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作者简介
Frederick J Gravetter is Professor of Psychology at the State University of New York College at Brockport. He has taught at Brockport since the early 1970s, specializing in statistics, research design, and cognitive psychology. He received his Bachelor's degree in mathematics from M.I.T. and his Ph.D. in psychology from Duke University. Dr. Gravetter is co-author of the best-selling STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its Ninth Edition; ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, Sixth Edition; and (with Lori-Ann B. Forzano) RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, Third Edition.
Larry B. Wallnau is Professor Emeritus of Psychology at the State University of New York College at Brockport. The recipient of grants and awards in both research and teaching, Dr. Wallnau has published numerous research articles primarily on the effect of psychotropic drugs. With Frederick J Gravetter, he has co-authored previous editions of STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its Ninth Edition, and ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its Sixth Edition.
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目录
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读书文摘
\[z = \frac{得到的差异}{偶然引起的差异} \] 例如，z分数 z=3.00 意味着在样本和假设之间的差异是期望随机出现差异的 3 倍
如果样本大小足够大，任意处理效应，不管有多小，都能足以使得我们拒绝虚无假设
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