Exemplos de uso de Homogeneity of variance em Inglês e suas traduções para o Português
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Colloquial
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Data were analyzed for normality and homogeneity of variance.
Levene test for homogeneity of variance was satisfactory in all these analyses Table 3.
Quantitative data underwent homogeneity of variance test.
Normality and homogeneity of variance were not found in all of the conditions involved in the analysis p.
The Shapiro-Wilk test was used to verify data normality and homogeneity of variance.
Data distribution and homogeneity of variance was assessed by the shapiro-wilk and levene tests.
The Shapiro-Wilk test was used to verify the normality of the data and homogeneity of variance.
Data normality Shapiro-Wilk test and homogeneity of variance Levene test were confirmed.
Levene's homogeneity of variance tests showed a homoscedastic pattern for the three factorial scores F1.
The dependent variables were tested concerning their normality with the Shapiro-Wilk test and homogeneity of variance by the Levene test.
The normality and homogeneity of variance were observed by the use of the shapiro-wilk and levene respectively.
It should be noted that the one-way analysis of ANOVA to compare the scores between the age groups presented homogeneity of variance.
Tests for normality Shapiro-Wilk and homogeneity of variance Levene were applied to all outcome variables.
For statistical analysis, data were subjected to Kolmogorov Smirnov andLevene's tests to check for homogeneity of variance.
The Gaussian distribution and the homogeneity of variance of the data were analyzed using the Shapiro-Wilk and Levene tests.
The comparison of means between groups was performed using Student's t test andBartlett's test to assess homogeneity of variance.
Variables showing a normal distribution and homogeneity of variance were compared between the two groups by the Student t-test.
These assumptions were accepted for the SBP, DBP, height, weight, BAI, WC, HC andWHR variables, which presented normal distribution and homogeneity of variance.
Normal distribution and homogeneity of variance were controlled with one-way Kolmogorov-Smirnov and Levene's tests, respectively.
The normality of the distribution was assessed using the Kolmogorov-Smirnov test and the homogeneity of variance was assessed using Bartlett's test.
After inspecting for normality and homogeneity of variance among groups, differences between groups were calculated using the unpaired Student's t test.
The distribution of continuous variables was assessed using the Shapiro-Wilk test, and the homogeneity of variance was assessed using the Bartlett test.
ANOVA was applied when there was homogeneity of variance and non-parametric Kruskal-Wallis test was used when the variables were not homogeneous in the Bartlett's test.
Analysis of variance F- used to compare the means of the variables that presented a normal distribution and homogeneity of variance at Bartley's test.
Levene' s test established that the data exhibited homogeneity of variance cognition, p=0.968; fine motor, p=0.725; gross motor, p=0.296.
Normality of the distribution was verified for all continuous variables by the Kolmogorov-Smirnov test, while the homogeneity of variance was checked using Levene's test.
Variables that showed no normal distribution or homogeneity of variance were analyzed by the Mann-Whitney test for comparison of two independent groups.
In each of the domains,the sphericity condition similar to the homogeneity of variance in a simpler traditional ANOVA was satisfied.
In the absence of normal distribution and homogeneity of variance, we used nonparametric tests the Kruskal-Wallis test for the variable"type of solution" and the Mann-Whitney test for the variable"position.
In order to test the assumptions of normal distribution and homogeneity of variance, we performed the Shapiro-Wilk test and Levene's test.