Introductory Statistics for Data Analysis

Ewens, Warren J., Brumberg, Katherine

Introductory Statistics for Data Analysis

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商品描述

This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested.

商品描述(中文翻譯)

本書描述了與常用統計程序相關的概率理論以及概率理論與統計推論之間的關係。書中的前三分之一專門介紹了概率理論，包括與事件、隨機變量和中心極限定理相關的主題。統計學的主題包括帶有置信區間的參數估計、假設檢驗、卡方檢驗、t檢驗和幾種非參數檢驗。流程圖經常用於幫助理解所考慮的材料。書中的例子和問題都涉及可以用簡單計算器分析的簡單數據集；然而，對於那些感興趣的人，書中還提供了完成許多例子和問題所需的R代碼。

作者簡介

Warren Ewens is an Emeritus Professor of Biology at the University of Pennsylvania. His research interests focus on the use of Statistics in genetics, in particular in describing the evolutionary process in genetical terms and in DNA sequence analysis.Katherine Brumberg is a PhD candidate in Statistics and Data Science at the Wharton School of the University of Pennsylvania. Her research interests focus on causal inference, in particular attaining optimal covariate balance in observational studies.

作者簡介(中文翻譯)

Warren Ewens是賓夕法尼亞大學的生物學名譽教授。他的研究興趣集中在統計學在遺傳學中的應用，特別是在遺傳術語中描述進化過程和DNA序列分析方面。

Katherine Brumberg是賓夕法尼亞大學沃頓商學院統計學和數據科學的博士候選人。她的研究興趣集中在因果推斷，特別是在觀察研究中達到最佳協變量平衡方面。

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