这篇文章集中在推论统计学，及它们在营养学和生物医学文献中的应用。
This article focuses on inferential statistics and their application in the nutrition and biomedical literature.
将推论统计学应用到Web数据流需要的不仅仅是学习作为各种统计检验基础的数学知识。
The application of inferential statistics to Web data streams involves more than learning the math underlying various statistical tests.
但另一种应对是承认对推论统计学日益加深的了解正成为Web开发人员工作描述的一部分。
However, an alternative response is to acknowledge that increasing savvy with inferential statistics is becoming part of the job description for Web developers.
如此，推论统计学的目的是仅仅从一群单一的人群利用常识来推测或者评价整个人数。
Thus, the purpose of inferential statistics is to predict or estimate characteristics of a population from a knowledge of the characteristics of only a sample of the population.
在本文中，您已经了解了如何将推论统计学应用于普遍存在的用于汇总web数据流的频率数据，侧重于web民意测验数据的分析。
In this article, you have learned how to apply inferential statistics to the ubiquitous frequency data used to summarize Web data streams, focusing on the analysis of Web poll data.
如果他们照搬自己实验中不严谨的一套统计学方法，应用到奥斯丁提供的这组加拿大安大略湖医院入院记录资料上，就会有这样不得已的推论。
At least, they would be forced to draw them if they applied the lax statistical methods of their own work to the records of hospital admissions in Ontario, Canada, used by Dr Austin.
如果他们照搬自己实验中不严谨的一套统计学方法，应用到奥斯丁提供的这组加拿大安大略湖医院入院记录资料上，就会有这样不得已的推论。
At least, they would be forced to draw them if they applied the lax statistical methods of their own work to the records of hospital admissions in Ontario, Canada, used by Dr Austin.
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