F test

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F test

[′ef ‚test]
(statistics)
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
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Hatched regions identify where changes are not statistically significant at the 99% confidence level using an F-test. (b),(d) As in (a),(c), but for the month of May over northeastern North America.
Table 2.1's regression results revealed an F-test of 7.840 with an associated significance value of zero, which thereby shows significance at the 1, 5 and
The results were submitted to the Shapiro-Wilk normality test and then to ANOVA by the F-test (p [less than or equal to] 0.05).
Tables 5 and 6 show, respectively, the mean CARs by country and by industry and the results of the Welch F-test conducted in order to determine the statistical significance of the results.
We assess for any differences in slope between the disabled and non-disabled groups by interacting the demographic characteristics (controls) in our regression specifications with the disabilities measure(s), and subsequently conducting a joint F-test.
One of them was the ANOVA F-Test (one-way ANOVA), which provides a single and simultaneous comparison of the series with an equality analysis method of the mean between two series.
The intragroup consistency (reliability) of IOP measurements was assessed using an F-test. P values of <0.05 were considered statistically significant.
(F-Test ANOVA--significance level p < 0.05.) Table 2.
This test is also known as F-test. It tests the hypothesis given below.
lycopersici (P = 0.713 by using F-test in Graphpad Prism 7) and the predatory mite, N.
The calculated results on t-test were then verified through the application of F-test on significance level 0.05 (Table 7).
t-stat p-value BSC use + 0.655 3.33 0.001 (***) Intercept -0.328 -2.36 0.019 (**) F-test = 0.0010 (***); VIF = 1.03; [R.sup.2]= 0.0328; Adj.