F-test and P-values: A synopsis

Q3 Decision Sciences

Journal of Management Information and Decision Science Pub Date : 2023-06-30 DOI:10.26524/jms.13.22

None Robert Odek, None Gordon Opuodho

引用次数: 0

Abstract

F-tests are a ratio of variances. F-tests are utilized in comparison of two variances, Analysis of Variance (ANOVA), and multiple regression. On the other hand, P-values depict the extent to which data fit in the design projected by the hypothesis so that P-value test all the assumptions contained on how the data was produced. This article offers a synopsis of what exactly is F-test and P-values, and their usage.

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f检验和p值:一个概要

f检验是方差的比率。f检验用于比较两个方差，方差分析(ANOVA)和多元回归。另一方面，p值描述了数据在假设所预测的设计中的拟合程度，因此p值检验了包含数据产生方式的所有假设。本文简要介绍了f检验和p值的定义及其用法。

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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来源期刊

Journal of Management Information and Decision Science Decision Sciences-Information Systems and Management

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期刊介绍： Journal of Management Information and Decision Sciences (JMIDS) is a reputed open access journal affiliated to Allied Business Academies. The journal focuses on disseminating the latest research in the field of management information system and its role in decision making, as well their relationships to cognate disciplines including Economics, Finance, Management, Management Science, Marketing, Statistics, Operations Research and Engineering. The journal adheres to stringent double blind peer review policy to maintain the publication quality.