Examples of using F-test in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
The results were submitted to analysis of variance and F-test. No interactions were observed between the EC treatments,
The F-Test p 0.91 presented the homogeneity of the variance of the monoexponential
The F-test of equality of variances was used for comparison between SH
the Breusch-Pagan's LM test, Chow's F-test, and Hausman's test indicate that the random effects model is appropriate at the 1% significance level.
The F-test comparing the average of Missing,
In this study it was noticed the presence of the two possible conflicting situations to confront the overall f-test result with the result of each multiple comparison test analyzed.
were subjected to analysis of variance by F-test and, whenever significant, means were compared by Dunnett's test,
the data were submitted to analysis of variance with the use of the F-test. The analysis of variance was applied to the questionnaire items of access to treatment that fulfilled the presuppositions of independence,
comparison between different groups were analyzed using F-test ANOVA and Post Hoc test Scheffe for pair wise comparison,
model when compared to the random effects model; Chow's F-test for the adequacy of the POLS model in relation to the fixed effects model;
The F-test of Model I allowed us to reject the null hypothesis that the variables together do not explain variation in the MSI,
The F-test was performed with a significance level of 95% to determine the effect of modulation rate.
unequal variances, and the F-test ANOVA for one factor.
Student's t-test and F-test in order to compare the demographic data averages of caregivers.
The results presented by analysis of variance Table 1 evidenced significant differences at 5% significance by F-test between mean values of mutant families for all traits,
a statistically significant difference based on the F-test p 0.04.
It is also worth noticing that the F-test of Model II allowed us to reject the null hypothesis that the variables together have no explanatory power for variation in the MSI,
Later, analysis of variance was performed by the F-test p.
The analysis of variances equality was performed by the F-test.
The homogeneity of the residual variances was checked by the maximum F-test.