Sentence examples for inability to reject from inspiring English sources

His generosity to all literary ventures he regarded as worthy was remarkable, and his inability to reject appeals for help was a severe trial to his agent.

And in "Pilgrims" his inability to reject funny but distracting incidents at times turns him aside from pursuing the powerful emotional lines of his plot.

Thus, if the adjusted p/2 value from a KH test is greater than 0.05 (i.e., for a 5% significance level), which would indicate the inability to reject an alternate topology, than the P-value from the SH test would necessarily give the same conclusion [76].

However, a result where SH tests fail to reject an alternative topology (e.g., an inability to reject the null hypothesis) is difficult to interpret as positive evidence that the alternative tree is as good a fit to the character data as the optimal tree, as the SH test is known to be particularly conservative [76] [78], [81].

This inability to reject the null hypothesis is reassuring for the HOST study's scientific validity.

That is, the inability to reject the null hypothesis of no difference between two conditions is not sufficient to conclude that no such difference exists.

The problem is illustrated by the unstable position of Mimallonidae and our inability to significantly reject their alliance with Bombycoidea and Lasiocampoidea, despite their failure to ever group near these superfamilies.

Again, most probably, the variability observed is of key relevance for the inability to formally reject the possibility of an interaction, as the intraindividual CV of the CYP2D6 metric was the highest of all the CYPs considered (51.9%, Table  2).

It is not known whether this persistence reflects inability of the host to reject HPV infections in general.

Non-induced AST mice showed tumor tolerance, as demonstrated by the failure to reject Tag-positive transplantation tumors and the inability to mount CTL following Tag immunization.

We include the prep statistic because it overcomes a primary problem with null hypothesis statistical tests (i.e., the inability to accept or reject the null hypothesis), and it also provides a measure of the probability of replicability that is of primary importance in all research, but especially when considering small-n research such as that presented here.