摘要 | 《统计陷阱》是美国统计学家达莱尔·哈夫所撰写的统计学名著, 由廖颖林于2002年6月进行了翻译, 该书从1954年一直到出版至今, 多次被重印并同时被翻译为多国语言版本, 是一本影响十分深远的经典性统计学著作。在我们的日常经济生活中, 人们会逐渐接触到越来越多的统计数据和相关资料、文件, 例如各种证券信息、大量的表格分析数据、投资可行性研究报告、公司性财务报告等, 至于这些资料和数据如何去伪存真、如何以有效的方式进行鉴别, 《统计陷阱》这本书明确回答了这些问题。总体而言, 这是一本十分强调统计思维和逻辑的书籍, 它通过揭示统计数字背后的陷阱和易让人产生迷惑性的误导, 以帮助读者更好地去理解和运用统计数据, 深究统计学内部的智慧和奥秘[1]。 |
Abstract | “How to Lie with Statistics” authored by American statistician Darrell Huff, was translated into Chinese by Yinglin Liao in June 2002. Since its initial publication in 1954, the book has been reprinted numerous times and translated into various languages, making it a classic work in statistics with far-reaching influence. In our daily economic life, people increasingly encounter statistical data and related documents, such as securities information, extensive tables of analytical data, investment feasibility reports, and corporate financial statements. The book “How to Lie with Statistics” provides clear answers to questions about how to discern truth from falsehood and effectively identify and evaluate such data. Overall, this is a book that emphasizes statistical thinking and logic. By uncovering the traps and misleading elements behind statistical figures, it helps readers better understand and utilize statistical data, while exploring the profound insights and intricacies of the field. |
DOI | 10.48014/jcss.20241029002 |
文章类型 | 书评 |
收稿日期 | 2024-05-14 |
接收日期 | 2024-06-11 |
出版日期 | 2024-06-28 |
关键词 | 统计学, 逻辑思维, 投资, 批判性思维, 数据分析 |
Keywords | Statistics, logical thinking, investment, critical thinking, data analysis |
作者 | 刘士豪 |
Author | LIU Shihao |
所在单位 | 山东农业大学, 泰安 271000 |
Company | Shandong Agricultural University, Taian 271000, China |
浏览量 | 120 |
下载量 | 31 |
参考文献 | [1] Darrell Huff. How to Lie with Statistics[M]. 上海: 上海财经大学出版社, 2002. [2] 汪远. 应用统计学在金融及证券领域的运用研究[J]. 财富时代, 2020(02): 53. [3] 郑施杰. 基于统计学在市场经济管理中的影响研究[J]. 知识经济, 2020(10): 175+177. [4] 闫坤如, 李宏. 大数据时代的“统计陷阱”及其规避探析[J]. 学术研究, 2020(05): 23-28. [5] Statistical Pitfalls: Problems with the Statistical Representation of Fieldwork Data from Social Research[J]. Mediterr J Soc Sci, 2014, 5(20): 1448. [6] Sterrantino A F. Observational studies: practical tips for avoiding common statistical pitfalls[J]. The Lancet Regional Health-Southeast Asia, 2024, 25. [7] HAZEMANN R H. Various statistical pitfalls[J]. Sem Med Prof Med Soc, 1955, 31(13): 441-444. [8] 王枫云. 发展中国家统计技术引进中追赶陷阱的防范与跨越机制[J]. 中国统计, 2014(08): 26-27. |
引用本文 | 刘士豪. 《统计陷阱》书评[J]. 中国统计科学学报, 2024, 2(2): 10-14. |
Citation | LIU Shihao. Book review of How to Lie with Statistics[J]. Journal of Chinese Statistical Sciences, 2024, 2(2): 10-14. |