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.
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.
由于考研需要,我心不甘情不愿的拿起了张奶奶的书,虽然已经做好了看不懂、被打击的准备,但还是被艰深的统计名词打败了……我是一个数学不大好的文科生。 无奈之下四处寻找简单易懂的统计书目,有人推荐甘怡群甘老师的书,可我那本书更看不懂,讲的不但难,还特别少,给我一种...
评分通俗易懂,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...
评分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...
评分这本书可读性极强,适用于心理学和社会学等“empirische Wissenschaft" 的本科基础统计学课程。此书的结构也和大多德国高校心理学本科第一学年的统计学课程设置一样,由"描述性“和”推论性“统计学组成,这种构成教学设置刚好对应大部分心理学研究的数据分析与成功展示,先是...
评分当年就用这本书的英文影印版,统计入门的。非常好。到现在还有印象的就是讲自由度(df)的地方,大概是小朋友分蛋糕的例子。并且,以当时本科生的英文程度也完全没问题。理想中教材就该写到这种程度的:让完全此领域零基础的读者在接触后,想到要来学这门课,再看这本书完全不...
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)
评分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)
评分best memory with Professor Bill
评分读过的最清晰易懂的一本教材
评分解释得挺清楚的。
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