Statistics for the Behavioral Sciences

Statistics for the Behavioral Sciences pdf epub mobi txt 電子書 下載2025

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:
頁數:792
译者:
出版時間:2012-1-1
價格:USD 281.95
裝幀:Hardcover
isbn號碼:9781111830991
叢書系列:
圖書標籤:
  • 心理學 
  • 統計學 
  • 英文原版 
  • Statistics 
  • 心理統計 
  • 統計 
  • 英文 
  • 統計學和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.

具體描述

讀後感

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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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为了学统计同时看了《行为科学统计》、《行为统计学基础》、《商务与经济统计》、《深入浅出统计学》。都是好书,但推荐前两本。第三本对公式和过程解释得不是特别简单,最后的不够系统,但是对核心概念解释得比较好,我是拿来参考不懂的概念的。本文以《行为科学统计》为主进...  

評分

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”  

評分

为了学统计同时看了《行为科学统计》、《行为统计学基础》、《商务与经济统计》、《深入浅出统计学》。都是好书,但推荐前两本。第三本对公式和过程解释得不是特别简单,最后的不够系统,但是对核心概念解释得比较好,我是拿来参考不懂的概念的。本文以《行为科学统计》为主进...  

評分

不用说什么废话了,如果你也是感觉自己完全看不懂张厚璨老师那本,而且相信自己的数学水平已经倒退回令人羞于提起的水平,就买这本书吧。 我已经快啃完了。虽说这本书里有很多令人发指的印刷翻译错误(我都摘出来了打算最后整理了寄到出版社去=_=),但依旧掩饰不了它是本好书...  

用戶評價

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讀過的最清晰易懂的一本教材

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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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讀過的最清晰易懂的一本教材

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好好好 非常好 一陣見血 不像中文版喜歡故作深奧;適閤入門和高級階段(中等程度看張厚粲),老師說此書構思巧妙,設計中已經隱含瞭許多本質原理,一容易入門,二隨著理解深入再看又能發現之前沒有注意到的點

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simple intro, quite clear but bit too verbose

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