Sentence examples for distribution to test from inspiring English sources
Here, first, in light of previous computational model11, we specifically examined the skewness of RT distribution to test whether there is any proactive modulation effect on manipulation.
This makes it possible to still use the normal distribution to test ideas about non-normal data.
Further, trends in the flood frequency were determined by fitting an extreme value type I (Gumbel) distribution to test selected flood percentiles for stationarity using a generalized least squares regression approach.
The rate constants in the multi-rate SCR were estimated with and without assumption of a specified lognormal distribution to test the lognormal assumption typically used to minimize the number of the rate constants in the multi-rate model.
Then a probability (p) value is computed from the chi-square distribution to test the fit of the logistic model.
In fact negative terms were in the original theory (they were in Aristotle), and the use of rules of distribution to test for validity were probably first used seventeen centuries later (by Buridan in the fourteenth century; perhaps earlier, but certainly no earlier than the twelfth century).
The three seventeen-year species aren't equally abundant everywhere, and the researchers are interested in, among other things, charting their respective distributions, to test ideas about cicada ecology and evolution.
I reconstruct their historical distributions to test whether they have been allopatric throughout their evolutionary divergence.
We used species rank-abundance distributions to test the hypothesis that assemblages would retain the same structure under different levels of temporal variability, as expected under neutrality.
When using the quasiextension to correct for overdispersion of the data, we used an F-distribution to test for significance; otherwise the deviance values were compared against a χ distribution (Crawley 2007).
Using JMP, we performed statistical analyses (χ, Van de Waerden's, Wald's and Student's t-tests) on means and distributions to test various hypotheses (see below).
