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For analysis and simulation, random variables and stochastic processes need to be modeled mathematically, and procedures are required to generate their samples for numerical calculations.
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It quantifies dissimilarity between sample data for numerical computation.
Univariate analysis included t-Test for independent samples comparison; Paired-Samples t-Test for numerical data (Table 1) and Chi-square for categorical ones were used to evaluate the change between t0 and t1 in EDI-2 scales and TCI-R dimensions.
Three digital images of in-situ shale samples are applied for numerical analysis.
ANOVA and independent samples t-test for numerical variables.
Inter-group differences were compared using the independent samples t-test for numerical variables and chi-square test or Fisher's exact test for categorical variables as appropriate.
The optimal spatial sampling for the numerical differentiation of the mode shapes are defined based on the minimization of the total error.
Chi-square and Fisher's exact tests were used for categorical variables and independent-samples t-tests for numerical variables.
Second, bivariate regressions of all study variables with LBW were obtained using chi square for categorical variables and independent sample t-test for numerical variables.
We compared patient characteristics, insertion time, insertion attempts, adverse effects and complications between the groups using the two-sample t-test (for numerical variables) and the Chi-square test (for categorical variables).
Number and mean (SD) will be computed for categorical and numerical baseline characteristics, respectively, where the differences in these characteristics are assessed between intervention and control groups by chi-square or Fisher's exact tests for categorical variables and independent-samples t-tests for numerical variables.
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CEO of Professional Science Editing for Scientists @ prosciediting.com