Statistics help us create Internet technologies, develop medicines, win elections, invest in stocks, predict the weather, and much more. But the methods that produce important numbers remain beyond many of us. How do we determine the proper size of a sample? How, exactly, do we calculate standard deviation? And just what is the central limit theorem? In The Cartoon Introduction to Statistics, Grady Klein and Alan Dabney cut through the confusion and take us on a tour of this dynamic subject, helping us stay afloat on the sea of data that is our increasingly complex world. Separating the book into two main parts (hunting statistics and gathering parameters) for readers both in and outside the classroom, they explore the key foundational concepts of statistics and the perils of improper methods. They round out the book with the "Math Cave," which provides easy access to the formulas every student will want to have close at hand. Through cheeky and irreverent examples bound to engage anyone grappling with the difference between histograms and boxplots, Klein and Dabney have created a rollicking narrative about the best ways to make confident statements based on limited information. Timely, authoritative, and a pleasure to read, The Cartoon Introduction to Statistics is an essential guide for students and for curious readers who want to better understand the world around them.
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作为统计概念入门实在是太棒了,举例简单生动,绘本的方式不仅仅是增加了可读性,更是方便理解。先从样本开始介绍,慢慢从样本过渡到population,反复强调样本和population之间的关系,statistics和parameter的关系。统计的图标也不再那么枯燥~总之入门必推,先理解好基础概念,后续再看教材就会理解很多。
评分内容很基础,风格和漫画很有趣
评分思路和Udacity的stat 101课程差不多,但是风格好太多了,上来就明确sample(statistic)和population(parameter),不停重复核心概念,讲如何用样本均值推断总体均值,举了几个大栗子,稍微有点math都在附录里……ps. 原来data真的是用作plural form的呀。
评分思路和Udacity的stat 101课程差不多,但是风格好太多了,上来就明确sample(statistic)和population(parameter),不停重复核心概念,讲如何用样本均值推断总体均值,举了几个大栗子,稍微有点math都在附录里……ps. 原来data真的是用作plural form的呀。
评分思路和Udacity的stat 101课程差不多,但是风格好太多了,上来就明确sample(statistic)和population(parameter),不停重复核心概念,讲如何用样本均值推断总体均值,举了几个大栗子,稍微有点math都在附录里……ps. 原来data真的是用作plural form的呀。
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