Sentence examples for testing of distribution from inspiring English sources

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.

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.

All analyses were completed with Statistica (Version 10, 1984 2011; StatSoft, Tulsa, OK, USA) and SPSS IBMM SPSS, Chicago, IL, USA) software and included testing of distribution with the Kolmogorov-Smirnov test, Mann–Whitney U test, χ test and Fisher's exact test, as well as logistic regression.

Significance testing of distributions of FPKM values was performed using a two-sample Wilcoxon rank sum test, and for normally distributed log2 transformed data, t-tests were employed.

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.

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.

The Kolmogorov Smirnov test was employed to test normality of distribution of the data.