Statistics for the Behavioral Sciences, 10/e (AE-Paperback)【含Access Code,刮除不受退】
暫譯: 行為科學統計學,第10版 (AE-平裝本)【含存取碼,刮除不受退】

Frederick J Gravetter , Larry B. Wallnau

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商品描述

本書序言

●In-text learning aids give students many opportunities to master the material by practicing working through problems. A Focus on Problem Solving section in each chapter offers practical tips on deciding which formulas to use and cautions for avoiding common errors.
●In the Literature sections, which appear in nearly every chapter, demonstrate how statistical results (e.g., for the mean and the standard deviation, t tests, and independent-measures tests) are reported in APA style and explain the notation and jargon used.
●The book's conceptual context helps make learning statistics as simple as possible for students who may be intimidated by the subject. Statistical formulas are presented in both standard mathematical notation and in everyday language, with explanations of how and why formulas are used.
●An appendix contains a general introduction to IBM SPSS®. In addition, at the end of each chapter for which an SPSS analysis is feasible, a step-by-step set of instructions describes how to enter data and run the analysis, and presents an example of the output.
●This edition's excellent problems, which walk students step-by-step through procedures in a variety of ways, reflect the straightforward writing for which Gravetter and Wallnau are renowned. Each chapter ends with 20 to 30 problems.

本書特色

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

商品描述(中文翻譯)

本書序言

● 內文學習輔助工具為學生提供了許多機會,讓他們透過練習解決問題來掌握材料。每章中的「專注於問題解決」部分提供了實用的提示,幫助決定使用哪些公式,並提醒避免常見錯誤。

● 在幾乎每一章中出現的文獻部分,展示了如何以APA格式報告統計結果(例如,平均數和標準差、t檢定和獨立樣本檢定),並解釋所使用的符號和術語。

● 本書的概念背景幫助學生簡化學習統計的過程,特別是對於那些可能對這個主題感到畏懼的學生。統計公式以標準數學符號和日常語言呈現,並附有如何及為何使用這些公式的解釋。

● 附錄包含IBM SPSS®的一般介紹。此外,在每章結尾,對於可進行SPSS分析的章節,提供逐步的指導說明如何輸入數據和執行分析,並展示輸出的範例。

● 本版的優秀問題以多種方式逐步引導學生完成程序,反映了Gravetter和Wallnau所知名的簡明寫作風格。每章結尾都有20到30個問題。

本書特色

統計學是你將修習的最實用且最基本的課程之一,而這本受歡迎的教材的主要目標是使學習統計的任務盡可能簡單。直接的教學、內建的學習輔助工具和真實世界的例子,使《行為科學的統計學》第10版成為教師最常選擇的教材,供其行為與社會科學的學生使用。作者提供的概念背景使學習公式和程序變得更容易,解釋了程序的發展原因及其使用時機。本書還將灌輸科學所必需的客觀性和邏輯的基本原則,這些原則在日常生活中也非常有價值,使其成為在你完成課程後仍然有用的參考資料。

作者簡介

The late Frederick J Gravetter was Professor Emeritus of Psychology at The College at Brockport, State University of New York. While teaching at Brockport, Dr. Gravetter specialized in statistics, experimental 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. In addition to publishing several research articles, Dr. Gravetter co-authored Statistics for the Behavioral Sciences and Essentials of Statistics for the Behavioral Sciences.

Larry B. Wallnau is Professor Emeritus of Psychology at The College at Brockport, State University of New York. While teaching at Brockport, he published numerous research articles in biopsychology and provided editorial consultation for journals in his field. He has taught statistics, animal behavior, biopsychology, psychopharmacology and introductory psychology. With Dr. Frederick J Gravetter, he co-authored all previous editions of STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its 10th edition. Dr. Wallnau received his bachelor's degree from the University of New Haven and his Ph.D. in psychology from the State University of New York at Albany. In his leisure time, he is an avid runner with his canine companion, Gracie.

作者簡介(中文翻譯)

已故的 **Frederick J Gravetter** 是紐約州布羅克波特學院的心理學名譽教授。在布羅克波特任教期間,Gravetter 博士專注於統計學、實驗設計和認知心理學。他在麻省理工學院獲得數學學士學位,並在杜克大學獲得心理學博士學位。除了發表幾篇研究文章外,Gravetter 博士還共同撰寫了《行為科學的統計學》(Statistics for the Behavioral Sciences)和《行為科學的統計學要素》(Essentials of Statistics for the Behavioral Sciences)。

**Larry B. Wallnau** 是紐約州布羅克波特學院的心理學名譽教授。在布羅克波特任教期間,他在生物心理學領域發表了許多研究文章,並為其領域的期刊提供編輯諮詢。他教授過統計學、動物行為、生物心理學、心理藥理學和入門心理學。與 Frederick J Gravetter 博士共同撰寫了《行為科學的統計學》(STATISTICS FOR THE BEHAVIORAL SCIENCES)的所有前幾版,目前已進入第十版。Wallnau 博士在新海文大學獲得學士學位,並在紐約州阿爾巴尼大學獲得心理學博士學位。在閒暇時間,他是一位熱愛跑步的跑者,常與他的狗伴 Gracie 一起運動。

目錄大綱

1. Introduction to Statistics.
2. Frequency Distributions.
3. Central Tendency.
4. Variability.
5. z-Scores: Location of Scores and Standardized Distributions.
6. Probability.
7. Probability and Samples: The Distribution of Sample Means.
8. Introduction to Hypothesis Testing.
9. Introduction to the t Statistic.
10. The t Test for Two Independent Samples.
11. The t Test for Two Related Samples.
12. Introduction to Analysis of Variance.
13. Repeated-Measures Analysis of Variance (ANOVA).
14. Two-Factor Analysis of Variance (Independent Measures).
15. Correlation.
16. Introduction to Regression.
17. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.
18. The Binomial Test.

目錄大綱(中文翻譯)

1. Introduction to Statistics.

2. Frequency Distributions.

3. Central Tendency.

4. Variability.

5. z-Scores: Location of Scores and Standardized Distributions.

6. Probability.

7. Probability and Samples: The Distribution of Sample Means.

8. Introduction to Hypothesis Testing.

9. Introduction to the t Statistic.

10. The t Test for Two Independent Samples.

11. The t Test for Two Related Samples.

12. Introduction to Analysis of Variance.

13. Repeated-Measures Analysis of Variance (ANOVA).

14. Two-Factor Analysis of Variance (Independent Measures).

15. Correlation.

16. Introduction to Regression.

17. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.

18. The Binomial Test.