Sentence examples for be explained by statistical from inspiring English sources

The study found that the increase could not be explained by statistical anomalies, like a loosening in the criteria for diagnosis.

It's not a catastrophic decline, but since we're now seeing quite a few polls of Republican voters, it's larger than can be explained by statistical noise alone.

Even if some of the above guesses turn out to have some bearing on media attention there will still be a significant amount of variation or "newsworthiness" that can't be explained by statistical factors.

There was another set of polls released on Tuesday, however, that diverged from the consensus in a significant way — and in a way that almost certainly can't be explained by statistical variance alone.

For the considered example the SNR is 163/23 ≈ 7 i.e. out of seven molecules identified for this p-value, only one can be explained by statistical properties of the data.

Thus, our data imply that the previously reported associations between Y-chromosomal lineages and a predisposition to, or protection against, prostate cancer might be explained by statistical fluctuations, or by genetic effects that are seen only in some environments.

The probability that the observed flux at SK is explained by statistical fluctuation without neutrino oscillation is less than 1%.

It was found that the probability that the measurements at SK is explained by statistical fluctuation without neutrino oscillation is less than 1%.

With these observations in mind, let us revisit the question of what is explained by statistical theories, whether quantum mechanical or macroscopic.

Taking this view of what is explained by statistical theories allows us to avoid various unintuitive consequences of Hempel's model (e.g., that high probability but not low probability outcomes are explained) and of Salmon's model (e.g., the same explanans $E$ explains both $M$ and $-M$.

Of course, results for which the statistical significance was confirmed can hardly be explained by insufficient statistical power.