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Download as PDF; Printable version; ... The Lydersen method is a group contribution method for the estimation of critical properties ... the values 215.90 cm 3, [6 ...
Abstract Full text PDF Archived 2015-05-01 at the Wayback Machine; Rorabacher, D. B. (1991) "Statistical Treatment for Rejection of Deviant Values: Critical Values of Dixon Q Parameter and Related Subrange Ratios at the 95 percent Confidence Level". Anal. Chem., 63 (2), 139–146. PDF (including larger tables of limit values)
The table illustrates that the smaller the false positive rate, and the smaller the number of tests, the closer the critical value is to the false positive rate. Table 1. Critical values for the HMP p ∘ {\textstyle {\overset {\circ }{p}}} for varying numbers of tests L {\textstyle L} and false positive rates α {\textstyle \alpha } .
The critical values of the total count are, roughly, 7, 10, and 13, i.e. 7 for a two sided 5% level, 10 for a two sided 1% level, and 13 for a two sided 0.1% level. The test loses some accuracy if the samples are quite large (greater than 30) or much different in size (ratio more than 4:3). Tukey's paper describes adjustments for these conditions.
This may be verified by substituting 11 mph in place of 12 mph in the Bumped sample, and 19 mph in place of 20 mph in the Smashed and re-computing the test statistic. From tables with k = 3, and m = 4, the critical S value for α = 0.05 is 36 and thus the result would be declared statistically significant at this level.
If the value of T is larger than the tabulated values, [3]: 1154–1159 the hypothesis that the two samples come from the same distribution can be rejected. (Some books [specify] give critical values for U, which is more convenient, as it avoids the need to compute T via the expression above. The conclusion will be the same.)
A-segregates are predicted to form when the Rayleigh number exceeds a certain critical value. This critical value is independent of the composition of the alloy, and this is the main advantage of the Rayleigh number criterion over other criteria for prediction of convectional instabilities, such as Suzuki criterion. Torabi Rad et al. showed ...
Critical value or threshold value can refer to: A quantitative threshold in medicine, chemistry and physics; Critical value (statistics), boundary of the acceptance region while testing a statistical hypothesis; Value of a function at a critical point (mathematics) Critical point (thermodynamics) of a statistical system.