Statistics for the Behavioral Sciences pdf epub mobi txt 电子书下载 2025

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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.

出版者:Cengage Learning

作者:Frederick J Gravetter

出品人:

页数:792

译者:

出版时间:2012-1-1

价格:USD 281.95

装帧:Hardcover

isbn号码:9781111830991

丛书系列:

图书标签:

心理学
统计学
英文原版
Statistics
心理统计
统计
英文
统计学和SPSS

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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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读完有股想哭的冲动！！中国的教材竟然跟外国教材差距如此之大…… 中国的教材竟然跟外国教材差距如此之大…… 中国的教材竟然跟外国教材差距如此之大…… 中国的教材竟然跟外国教材差距如此之大…… 中国的教材竟然跟外国教材差距如此之大…… 中国的教材竟然跟外国教材差距...

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通俗易懂，入门必备。只是有些地方略有瑕疵，我仅把我能发现的一些问题找出来。本人才疏学浅，如有不对之处，望指正；如有遗漏之处，望补充。 1、P28 ：“学习检查 4、（但是可以至少回答有三个被试得分可能为X=73）” 2、P28 ：页末 “Y轴的高度大概是X轴长度的1/3~3...

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在我用于本科毕业论文答辩的ppt里的某页赫然写着这么一行：“标准误：标准差除以样本量的平方根”。这是我对“数据处理”部分特地作出的一条说明。前些天打开看到的时候，不禁觉着有些囧。当年我们的《生物统计学》是一门选修课，授课的是生科院生物信息学方向的一个牛人，长得...

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无意间看的这本书，看完后认认真真地做了笔记，又认认真真地再查看了一下。对于学过概率，而没有学过数理统计的人，常常试图去看数理统计的书，但是看完后除了知道有这么一个概念，可以如何计算外，很多东西都很混乱，比如卡方检验跟t检验，F检验区别是什么，可以用于哪里...

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p35 例2.2表格第一行，X=10，“f=2”而不是f=5 p37 小测验上面那段的最后一行，应该是“区间50到54具有实限49.5到54.5” p126 例5.6，z分数的和是0，而不是10 p140 如果第一张卡片不是方片J，第二张是的概率为1/51，而不是1/52 p151 小测验3，应该是“恰好得到18个正面”

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III. t-test: inferences about population means and mean differences (intro, t-test for two independent/related samples) IV. ANOVA: tests for differences among two or more population means (intro, independent/repeated-measures ANOVA, two-factor ANOVA)

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simple intro, quite clear but bit too verbose

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best memory with Professor Bill

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best memory with Professor Bill

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终！于！今天终于可以说看过你了！