Former correspondent for The Economist, current columnist for Yahoo!, and professor at the Harris School of Public Policy at the University of Chicago, Charles Wheelan lives in Chicago with his family.
The field of statistics is rapidly transforming into a discipline that Hal Varian at Google has called "sexy". And with good reason - from batting averages and political polls to game shows and medical research - the real-world application of statistics is growing by leaps and bounds. In Naked Statistics, Charles Wheelan strips away the arcane and technical details to get at the underlying intuition that is key to understanding the power of statistical concepts. Tackling a wide-ranging set of problems, he demonstrates how statistics can be used to look at questions that are important and relevant to us today. With the trademark wit, accessibility and fun that made Naked Economics a bestseller, Wheelan brings another essential discipline to life with a one-in-a-million statistics book that you will read for pleasure.
为什么要读这本书呢? 第1个原因,我们一生中会遇到各种重大决策的问题,这本书都会给你答案。比如:高考选择大学专业重要,还是大学所在的城市更重要?刚毕业去大公司,还是创业公司?首套刚需房,选择在什么地段买更好?买彩票,炒币,豪赌,投资股票,哪种方式让你赚钱的可...
评分既然已经有好几篇大作来评论这本《赤裸裸的统计学》了,本人就不再狗尾续貂了。然而关于这本书里翻译或排印的错误,非常有必要罗列在此,以供书友们借鉴。 1.第100页:第二行的“99.9999%”应为99.999%;且图5-5最左端的“175亿美国成年人”应为1.75亿。 2.第163页:图9-3上...
评分Truly impressive book explaining some of the most important statistics concepts without any mathematical equations, yet delivering the punch line so clearly! Wheelan walks the reader through grand statistics tour, covering topics such as the central limit t...
评分Truly impressive book explaining some of the most important statistics concepts without any mathematical equations, yet delivering the punch line so clearly! Wheelan walks the reader through grand statistics tour, covering topics such as the central limit t...
评分这不是关于这本书的看法,只是看书的时候隐隐约约想起来的闲言碎语。 随着移动互联网的兴起,数据变得在线,我们逐渐走进大数据时代,一个前所未有的时代。在许多地方我们可以看到大数据展现的神奇魔力,也一再担忧大数据所带来的隐私问题。 然而,有一点却被大家无意识地忽...
每个人都应该了解的统计概念(可惜大学的老师不能这样教我们)
评分流畅但显浅
评分每个人都应该了解的统计概念(可惜大学的老师不能这样教我们)
评分没学过当入门,学过了当复习。举例和解释都直观明了。然后你会发现世界上最富有创意的发明家就是搞量化分析的社会科学学者……
评分喜欢,内容对学霸来说可能太浅显,不过重点在如何正确诠释数据,尤其几个偏见的分析,简直是绝杀微信民科利器。还有波士顿国际香肠节的例子,很有画面感。
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