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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CITATION STYLE
APA
Robert Odek, & Gordon Opuodho. (2023). F-test and P-values: A synopsis. Journal of Management and Science, 13(2), 59–61. https://doi.org/10.26524/jms.13.22
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