Sentence examples for all datasets were tested from inspiring English sources

All datasets were tested for normality using the Shapiro Wilk test and analysed for statistical significance using SPSS (version 21, IBM, Armonk, NY, USA).

The normality of all datasets was tested using Kolmogorov-Smirnov method.

All single marker and combined datasets were tested for significant departures from average base frequencies with PAUP* 4b10 [ 69], using only variable sites.

First, children with and without head lice (dependent variable) in the three selected datasets were tested against all household and individual variables in univariate logistic regression.

Simulated datasets were tested for combinations of the following parameters: basis function, global scaling, low-pass filter, high-pass filter and autoregressive modeling of serial autocorrelation.

The background data and the experimental data were compared, and differences between the datasets were tested for significance using multivariate analysis at the 0.001 significance level.

Several simulated datasets were tested, encompassing different combinations of amplitudes and prevalences (the frequency of mutation in the population).

Datasets were tested for sphericity with Mauchly's sphericity test.

Therefore the hypotheses stating that the selective constrains differ between these two and the other datasets were tested.

The datasets were tested for differential variability using our F-test-based procedure, and differential expression by Welch's two-sample t-test (Welch, 1947).

Sample medical, sensory datasets and fire detection datasets are tested on the proposed system.