Sentence examples for tests of distribution from inspiring English sources

The differences in the distributions of CPD participation in these relations were significant (Chi square tests of distribution in cross-tables, p < 0.01), while the differences in participation among the types of municipalities and age groups were not significant and therefore are not discussed further.

In the X2- tests of distribution of euthanised sows/gilts the months January and February were grouped together as were August and September.

Field trapping for tests of distribution by altitude were carried out between 15 April (week 14) and 31 October (week 43) 2011.

Although normalization operations manipulate the distribution of values from each sample, tests of distribution similarity between technical replicates(for example the Kolmogorov-Smirnov test used by Maksimovic et al[ 6]) are also potentially misleading because samples can be identically distributed but uncorrelated.

The characterizations by truncated moments may also be useful in developing some goodness-of-fit tests of distributions by using data whether they satisfy certain properties given in the characterizations of distributions.

The goal of this paper is to provide large deviations limit theorems for statistics, based on the delta-sequence density estimation and designed to symmetry testing of distribution.

For testing of distribution, we used the Shapiro Wilk's test.

Significance testing of distribution of baseline characteristics used Wilcoxon rank-sum test for continuous variables and chi-squared test for categorical variables.

Following standard statistical procedures have been used for evaluation of the data: Kolmogorov-Smirnov two-samples test, chi-square goodness-of-fit test for testing of distribution, Mann-Whitney test for medians and t-test for means.

Demographic data on age, education, Mini-Mental State Examination score, and symptom duration were analysed using linear regression models; a Chi-square test of distribution was used to assess whether gender distribution differed significantly between experimental groups.

For the testing of distribution of ER expression (positive vs negative) in paired samples, such as primary tumours and their corresponding SLNs, the McNemar test was applied for categorical variables.