Exemplos de uso de Normality of data distribution em Inglês e suas traduções para o Português
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Normality of data distribution was assessed using the Shapiro-Wilk test.
The Kolmogorov-Smirnov test was used to verify the normality of data distribution.
The normality of data distribution was assessed by the Shapiro-Wilk test.
The Kolmogorov-Smirnov test was used to verify the normality of data distribution.
To verify the normality of data distribution, the Shapiro-Wilk test was used.
The statistical analysis of data was performed using the software R version 3.0.1, and the normality of data distribution was verified using the Shapiro-Wilk test.
Normality of data distribution was assessed using the Shapiro-Wilk test.
The quantitative variables were tested for normality of data distribution using the Shapiro-Wilk test.
The normality of data distribution was verified through Shapiro-Wilk's test and, since distribution was normal, parametric tests were used in the statistical analysis.
The results are expressed as mean± SD, and the normality of data distribution was evaluated by the Kolmogorov-Smirnov test.
Normality of data distribution was observed only for the LI group; therefore, the Paired t-test was used for intragroup comparisons between the number of nouns and verbs and the Mann-Whitney test was applied for analysis between the groups.
The comparisons made considered the intergroup analysis of the activation levels of each muscle. The statistical test for intergroup comparison was the Student's t-test for non-paired data, determined after verifying the normality of data distribution with the Kolmogorov-Smirnov test.
We studied the normality of data distribution by the Kolmogorov-Smirnov test.
For statistical analysis, the software SigmaPlot 11.0 Systat, USA, 2011 was used.The Shapiro-Wilk test was used to verify the normality of data distribution and the two-way ANOVA for repeated measures with Holm-Sidak post-hoc to verify the effect of the maneuvers and positions. The significance level was 5.
The normality of data distribution was assessed by Shapiro-Wilk's test, and the homogeneity of variances was assessed by Bartlett's test. Afterwards, analysis of variance ANOVA and Tukey's and Scheffe multiple comparison tests were used to compare the UPSIT score among the studied diseases.
The Kolmogorov-Smirnov test was used to verify the normality of data distribution. Afterwards, the analysis of variance ANOVA test was used, which was followed by the Tukey test.
An assessment of normality of data distribution by the was conducted by the Kolmogorov-Smirnov test, ANOVA one-way and the least significant difference test or the ctest, to compare between groups. Pearson or Spearman correlation was used to assess the relation between the 6MWT and the echocardiographic parameters.
We employed the Kolmogorov-Smirnov test to evaluate normality of data distribution, Pearson's or Spearman's correlation coefficient to study correlations between variables, and unpaired t-test to determine intergroup differences in numerical data. .
Since the Shapiro-Wilk test did not reject the normality hypothesis of data distribution, analysis of variance two-way ANOVA, followed by Fischer LSD post hoc test were applied.
The normality of the data distribution was assessed with Kolmogorov-Smirnov test.
For the variables evaluated, the normality of the data distribution was evaluated with the Kolmogorov-Smirnov test.
The normality of the data distribution was analyzed with the Kolmogorov-Smirnov test, and parametric tests were applied.
Statistical analysis was performed with R statistical software. Normality of distribution of data was checked by Shapiro-Wilks test.
The statistical analysis was performed with the software SPSS v.20.0®. To verify the normality of the data distribution we used the Kolmogorov-Smirnov test.
Shapiro-Wilk test was used to assess the normality of quantitative data distribution between groups in BBS and TUG, as well as Mann-Whitney and Student's T test for independent samples, respectively.
Before analyzing each group, the normality of the data distribution was checked by means of descriptive statistical procedures, using the Shapiro-Wilk test.