The cartoon guide to statistics
了解 Larry Gonick 的《The cartoon guide to statistics》（The cartoon guide to statistics）：2007-02-22–2026-11-01 的 Hacker News 数据中有 26 次提及、17 位讨论者。阅读原文摘录、比较不同观点，将它加入你的书单。
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在 Hacker News 阅读原文The Cartoon Guide to Statistics by Gonick and Smith is actually quite good for dipping your toes in. It should give you an okay conceptual foundation from which you can tackle the textbooks you've already got.
在 Hacker News 阅读原文… the chapters for math I'm completely new to yet, but it seems like it would introduce you to enough basic concepts that you could have a clearer idea where to go next. _The Cartoon Guide to Statistics_ by Larry Gonick ( http://www.librarything.com/work/12735 ) seems like a good statistics refresher / overview. It's not that deep, and it's rather hokey, but it's a quick read. An important part of reading math papers is not getting thrown by the dense notation, so starting with something less formal may be helpful.
在 Hacker News 阅读原文This isn't directed at the author of the top post, but _The Cartoon Guide to Statistics_ is actually pretty good. It's a quick read (cartoons, hey), but works well as a quick refresher, or would be enough of an intro to pick up terminology for more pointed questions. (It's also fairly cheap, libraries might have it, etc.)
在 Hacker News 阅读原文…reat statistics like a bunch of techniques to be learned and applied with little regard for the philosophical problems inherent in every attempt to model the real world. The Cartoon Guide to Statistics is an excellent way to go from zero to a good overview of the basics with a minimum of hard math. After that, if you're mostly interested in applying basic techniques to your own stuff, you want a good undergrad textbook. I don't have any good recommendations here, unfortunately. If you have a good math background (or are motivated to get it) and you want to keep going, Statistical Models; Theory and Practice by David A. Freedman ( http://www.amazon.com/review/R2XUNM92KYU7BB ) has the math, the philosophy, the hands on analysis of studies, and the exercises to put you in a better position to evaluate statistical research than some people wh…
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