{"title":"Statistical Analyses","authors":"Johanna Hardin, John Kloke","doi":"10.1002/cpet.10","DOIUrl":null,"url":null,"abstract":"<p>In this appendix, we provide an outline of methods used in analyzing biological data. We give a summary of types of data encountered and the appropriate methods to apply for the questions of interest. Statistical techniques described include the <i>t</i> test, the Wilcoxon rank sum test, the Mann-Whitney-Wilcoxon test, ANOVA, regression, and the chi-square test. For each method, we give the appropriate assumptions, the details of the test, and a complete concrete example to follow. We also discuss related ideas such as multiple comparisons, why correlation does not imply causation, and ideas of sampling from a population. © 2017 by John Wiley & Sons, Inc.</p>","PeriodicalId":500994,"journal":{"name":"Current Protocols Essential Laboratory Techniques","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpet.10","citationCount":"226","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols Essential Laboratory Techniques","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpet.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 226
Abstract
In this appendix, we provide an outline of methods used in analyzing biological data. We give a summary of types of data encountered and the appropriate methods to apply for the questions of interest. Statistical techniques described include the t test, the Wilcoxon rank sum test, the Mann-Whitney-Wilcoxon test, ANOVA, regression, and the chi-square test. For each method, we give the appropriate assumptions, the details of the test, and a complete concrete example to follow. We also discuss related ideas such as multiple comparisons, why correlation does not imply causation, and ideas of sampling from a population. © 2017 by John Wiley & Sons, Inc.
统计分析
在本附录中，我们提供了用于分析生物数据的方法概述。我们总结了遇到的数据类型，以及适用于感兴趣问题的适当方法。所描述的统计技术包括t检验、Wilcoxon秩和检验、Mann‐Whitney‐Wilcoxon检验、ANOVA、回归和卡方检验。对于每种方法，我们都给出了适当的假设、测试的细节以及完整的具体示例。我们还讨论了相关的想法，如多重比较，为什么相关性不意味着因果关系，以及从人群中采样的想法。©2017 John Wiley&Sons，股份有限公司版权所有。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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