Sentence examples for tests to test whether from inspiring English sources

When dealing with classical spike train analysis, the practitioner often performs goodness-of-fit tests to test whether the observed process is a Poisson process, for instance, or if it obeys another type of probabilistic model (Yana et al. in Biophys. J. 46(3):323–330, 1984; Brown et al. in Neural Comput.

We applied Wilcoxon tests to test whether using the RIBOSUM matrix (instead of the simpler default matrices) yields a statistical significant performance change.

First, we used chi-square tests to test whether mean-simulated admixture values for each scenario significantly differed from observed values.

In the site model, codon site models M0, M3, M7, and M8 were implemented, using likelihood ratio tests to test whether variable ω (dN/dS) ratios were present at the amino acid sites.

We use Analysis of Variance and Nonparametric Tests to test whether the difference of mean value of testing generals have statistical significances. the results shows significant differences occur between the impacts of different genders on the four domains of QOL (physical health, psychological health, social relationships, and environment).

We firstly perform single-dimension T test and Kolmogorov Smirnov test to test whether male and female datasets are drawn from the same distribution.

We further used t-tests to test whether the final frequency of virulent isolates was significantly different from 0.5 across all replicates and pairs.

The mean amplitudes were then compared with zero with 1-sample t-tests to test whether significant identity MMN responses were elicited in the baseline condition.

We used t-tests to test whether pesticide levels differed significantly by ethnicity, and chi-square analyses to test whether the proportion of women using pest control measures over the final 2 months of pregnancy was related to pest sightings in the home.

Since for SBEII activity the data was relative and was scaled so that wild-type was 1, the wild-type data was not included in the ANOVA; pooled standard errors from the ANOVA were used in one-sample t-tests to test whether each mean was significantly different from 1. Correlation coefficients were calculated between means.

Finally, we used a t test to test whether slopes were significantly different.