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Data are expressed as mean ± SD for normal distribution or medians and ranges for distribution differ from the normal after verification of distribution by Shapiro-Wilk test.
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Experience with ViVA has highlighted benefits of this architecture for visualization of variance: ● implementing visualization with a server has advantages for pooling effort (such as in data cleaning and visualization scripts), and for maintaining best practices and standards (such as verification of distributions).
Univariate analysis included verification of normality distribution and calculation of mean values for continuous variables and of frequency distribution for categorical variables.
The statistical method was chosen based on the verification of normal distribution and equality of variance evaluated by the Kolmogorov- Smirnov and Levene tests, respectively.
Differences between several experimental conditions were analyzed by means of independent t-tests and univariate analysis of variance, after verification of normal distribution by human eyeballing and the Kolmogorov-Smirnov test.
Analysis of variance (ANOVA) was used to test statistical differences in chromosome numbers (CNs) among considered groups, after a verification of normal distribution of data (Levene statistics).
Secondly, because the radionuclide also emits gamma rays, imaging of the patient is possible, thus providing verification of radionuclide distribution.
After verification of normal distribution, differences in GRC between indigenous populations of NSH, BH, and EW were assessed with t-tests, and among all populations with an ancova including total length and sex as covariates.
Statistical analysis Differences in body weight and blood glucose under the different dietary regimens were tested for statistical significance with a one-way analysis of variance (one-way ANOVA) after verification of normal distribution, followed by a post hoc test (homogeneous variances by Bonferroni type and inhomogeneous variances by Games Howell type).
Verification of dose distributions for gynecological (GYN) brachytherapy implants using EBT Gafchromic film.
In addition, the figures 6C and 6F allowed the verification of the random distribution of residues around zero, which is a requirement to obtain adequate models.
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