Exemplos de uso de Normality and homogeneity em Inglês e suas traduções para o Português
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Results were submitted to normality and homogeneity tests.
Normality and homogeneity of variance were not found in all of the conditions involved in the analysis p.
For statistical analysis,data was tested for normality and homogeneity of variances.
In the absence of normality and homogeneity, the non-parametric test Mann-Whitney U test was used.
The Kolmogorov-Smirnov and Levene tests were used to check the normality and homogeneity of variances respectively.
Since they presented normality and homogeneity, parametric statistics methods were adopted.
The Shapiro-Wilk and Levene tests were used to verify the pre-concepts of normality and homogeneity of variances, respectively.
The normality and homogeneity of the data were verified through the Shapiro-Wilk and Levene tests.
Age p 0.437 and experience p 0.612 showed normality and homogeneity in the variances p 0.665 and p 0.367, respectively.
Data normality and homogeneity were confirmed by the Shapiro-Wilk and Levene tests, respectively.
The Shapiro-Wilk and Levene tests were used to determine the normality and homogeneity of variable data in the sample groups.
Normality and homogeneity of data variance were analyzed,and data did not show normal distribution.
We ran an exploratory data analysis to verify the normality and homogeneity of the variables' distribution, however, this was not verified in our sample.
The normality and homogeneity of data variance were analyzed by the Shapiro-Wilksand Levene's tests, respectively.
For analysis of schoolbag weight relative to student body weight, normality and homogeneity of variance were determined with Kolmogorov-Smirnovand Levene tests, respectively.
The normality and homogeneity of variance were observed by the use of the shapiro-wilkand levene respectively.
The normality of the dependent variable was tested with the Kolmogorov-Smirnov test, and assumptions concerning the residuals of the models normality and homogeneity of variances were checked graphically.
To assess data normality and homogeneity, the Shapiro Wilk and Levene tests were performed, respectively.
Statistical analysis included the Shapiro-Wilk test for normality and Levene's test of homogeneity of variance.Because the assumptions of normality and homogeneity were not guaranteed, non-parametric statistics were used for data treatment.
The normality and homogeneity of data variance were tested by the Shapiro-Wilks testand Levene test, respectively.
To test differences between cases classified as"intoxication" or"adverse effect," based on the ages and on the length of hospitalization, the Wilcoxon-Mann-Whitney non-parametric test was applied,since the assumptions of normality and homogeneity were not complied with, as required to apply the parametric t test.
Normality and homogeneity of the variances were verified using the Kolmogorov-Smirnovand Levene test, respectively.
Some simulation studies have been empirically justifying that these scales' analyses must consider the variables as interval ones, when the additional items ortheir determined mean value is used, since it enables applying the parametric tests if the variance normality and homogeneity assumptions are met; otherwise, the non-parametric tests are conducted.
Normality and homogeneity of the variance in the data were analyzed using the Shapiro-Wilkand Levene tests respectively.
To test if there is any difference among the situations based on age and on the length of stay, the Kruskal-Wallis non-parametric test was applied,since the assumptions of variance normality and homogeneity were not complied with,and these are required in order to apply a more powerful, better known parametric test, the Analysis of Variance ANOVA.
To test for normality and homogeneity, we employed the Kolmogorov-Smirnov testand Levene's test, respectively.
To test if there were differences between genders, as well as between case classification in"intoxication" or"adverse effect", based on age and length of hospital stay, we used the Wilcoxon-Mann-Whitney non-parametric test,since assumptions of normality and homogeneity of variances were not met. These are necessary requirements to use the parametric test t.
To analyze normality and homogeneity of data distribution, the Kolmogorov-Smirnov and Levene tests, respectively, were used.
After applying the Shapiro-Wilk test to verify the normality and homogeneity of the data, the paired Student's t testand the Wilcoxon test were applied to analyze the data in order to evaluate intra-group variables.
The normality and homogeneity tests results of the O2 and RPE variables justified the use of parametric statistics in the subsequent analysis.