Follow-Up Of Fisher F Test With Significantly Low Values In Small Samples
AbstractFisher’s F-test, a common statistical choice for testing differences between groups, has been found to return unusually small, significant values. This paper presents a follow-up of two examples from medical surveys which registered significantly low F-values when testing for differences between evaluations (marks) given by physicians in different specialties. A new wave of the two surveys has been conducted, but did not register low F-ratios. The datasets of the two waves are compared for specific traits which may have caused the low F-ratios in the original wave. Results confirmed some of the previous findings (e.g. normality should always be tested because non-normal data may “hide” behind normal F-ratios), but showed similar conditions of sample size, non-normality of data and influence of a second variable (locality). The main conclusion of the follow-up is that neither of these causes, alone or acting together, guarantees that significantly low F-ratios will occur. This makes generalisation, or preventing low F-ratios, a difficult, if not impossible task.
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Bibliographic InfoArticle provided by The Bucharest University of Economic Studies in its journal Journal of Doctoral Research in Economics.
Volume (Year): 3 (2011)
Issue (Month): 2 (June)
Fisher’s F-test; significantly low F-ratio; medical marketing research; non-normality;
Find related papers by JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
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