Sentence examples for inference since from inspiring English sources

In some cases this is a reasonable inference since, for example, several tyrannosaurs are known with feathers, strongly implying that even Tyrannosaurus had them, but what about more distant relatives?

But it contains the argument that even if we could infer from the nature of the world that God must have created it (a fashionable form of theology in the 18th century), this would be a useless inference, since we would have no grounds for ascribing any other characteristics to this creator.

It cannot be known by inference, since the first premiss is a universal statement and the conclusions of syllogisms are particular statements.

A prophet's knowledge of the future is based on deductive inference, since he or she is well acquainted with the world and with all details of natural causality.

Even if I assume that the aspirin has "secret powers" that are doing the heavy lifting in relieving my headache, they can't be the basis of my inference, since these "secret powers" are unknown.

At first sight, it is somewhat perplexing how to formalize this notion of nonmonotonic inference, since it seems to require a circular definition of provability that can't be replaced with an inductive definition, as in the nonmonotonic case.

Lower accuracy was observed in the inference of since, as previously mentioned, this simulated subpopulation was on average larger.

Some (Armstrong 1991, Dretske 1977) think that the framework supports the idea that laws play a special explanatory role in inductive inferences, since a law is not just a universal generalization, but is an entirely different creature — a relation holding between two other universals.

Although the mtDNA genetic code of nematodes may differ from that of the invertebrate translation code [32], this is unlikely to affect our inferences since Jacob et al. [32] showed that a stopcodon was changed into a tyrosine codon, and not the other way around.

This design does not allow for making causal inferences since we did not use a control group.

Statistical models that fail to account for correlation between repeated measures are likely to produce invalid inferences since parameter estimates may not be consistent and standard error estimates may be wrong [ 1].