The application of inferential statistics to Web data streams involves more than learning the math underlying various statistical tests.
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。
However, an alternative response is to acknowledge that increasing savvy with inferential statistics is becoming part of the job description for Web developers.
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。
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.
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。
The statistical methods of measurement data include descriptive statistics and inferential statistics.
计量资料统计分析主要分为统计描述和统计推断。
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.
因此，推理统计学的目的就是通过了解一个群体中一些样本的特性，从而对整个群体的特性进行推测和估算。
This article focuses on inferential statistics and their application in the nutrition and biomedical literature.
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。
Define the central limit theorem and understand its significance in the application of inferential statistics for confidence intervals, control charts, etc.
定义中心极限定理，并且理解其在置信区间、控制图等统计推断应用中的意义。
Inferential statistics is a formalized body of methods for solving another class of problems that present great difficulties for the unaided human mind.
推理统计学是一套已定形了的方法体系，它解决的是光凭人脑极难解决的另一类问题。
Inferential statistics is a formalized body of methods for solving another class of problems that present great difficulties for the unaided human mind.
推理统计学是一套已定形了的方法体系，它解决的是光凭人脑极难解决的另一类问题。
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