书籍介绍
Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever.
In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial.
How many trees are there on the planet? Do busier hospitals have higher survival rates? Why do old men have big ears? Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
精彩摘录
- "1. Statistical methods should enable data to answer scientific questions: Ask 'why am I doing this?', rather than focusing on which particular technique to use 2. Signals always come with noise: It is trying to separate out the two that makes the subject interesting . Variability is inevitable, and "
作者简介
David Spiegelhalter is a British statistician and Chair of the Winton Centre for Risk and Evidence Communication in the Statistical Laboratory at the University of Cambridge. He was also elected as President of the Royal Statistical Society for 2017-18. In addition to presenting documentaries on BBC4, he has appeared on Infinite Monkey Cage, BBC Horizon, and the Life Scientific, and he has been a guest columnist in the Times, Guardian, and New Scientist. Spiegelhalter was knighted for his services to statistics in 2014. He lives in Cambridge, UK.
用户评论
The numbers don't speak for themselves. We speak for them. With explicit examples introduces the author the concepts and the procedure of doing statistics. It's a good introduction to statistics.
hmmmm 书中提到了不少专业术语但是没有具体解释。我不知道适合什么样的人看，学过本科概率统计的都会觉得讲得太浅了，但是对更年轻的没有太多社会阅历的读者来说书中有大量社会实际例子就很无聊。可能是给人文社科的看的吧。
用最新的例子来解释最基本的统计知识，引人入胜
蛮有意思的。data。 back to mean 。
Blinkist扫过。类似Lie with statistics，介绍了我们日常生活中常见的利用数据或者统计结果来达到自身特定目的小手段，例如平均的概念、因果性和关联性、反复实验直到得到想要的结果、数据的可视化展现、调查问卷上的文字游戏等等。算是统计学科普类书籍，讲述一些基本的逻辑概念。说到底，还是要独立思考，带着批判精神去看待数据和统计。
与一般统计课程不同，更强调数据思维
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