Examples of using Using analysis of variance in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Data were analyzed using analysis of variance.
Variables with normal distribution were compared between the risk categories using analysis of variance.
The data generated were analyzed using analysis of variance(anova) for spss 16.0.
The comparison between the prototypes for surface smoothness andthe reconstructed area was carried out using analysis of variance anova.
Data were analyzed using analysis of variance and tukey test at 5% significance level.
A comparison of multiple means was performed using analysis of variance ANOVA.
The means were evaluated using analysis of variance(anova) and compared beteen groups by tukey test.
Mean ages of the patients were compared using analysis of variance ANOVA.
Correlations were assessed using analysis of variance ANOVA for unpaired variables and Pearson's chi-squared test for categorical variables.
The age of the individuals from each village was compared using analysis of variance.
Statistical analysis was performed using analysis of variance(ANOVA) model with three fixed criteria.
The analysis of the differences of quantitative variables was carried out using Analysis of Variance ANOVA.
Statistical analysis of the data was performed using analysis of variance(ANOVA) for comparison between means with significance level of 5.
The distribution of the responses was subjected to statistical analysis using analysis of variance ANOVA.
Means and standard deviations were compared using analysis of variance Anova or Student's t test, depending on which inferential statistic was appropriate.
After coding, we calculated the frequency of occurrence of the scores andthe groups were compared using analysis of variance- ANOVA SPSS 17.0.
Data were analyzed using analysis of variance followed by the tukey test, and differences were considered significant when p value was less than or equal to 0.05.
Comparisons between groups were performed using analysis of variance ANOVA and the? tests?
The analytical procedure used was the comparison of the distributions for the groups in each category of analysis, using analysis of variance.
The data were interpreted in sas 9.0 program using analysis of variance and regression to the level of 10.
Associations were made between the social determinants of health andthe averages of the quality of life domains using analysis of variance ANOVA.
To analyze these results,calculation was performed using analysis of variance ANOVA, one-way model with fixed effects.
To determine the interaction between carrier frequencies of 6000 Hz and 8000 Hz, in terms of stimulation(separate or combined),amplitudes were evaluated using analysis of variance two-way ANOVA.
The differences between groups were examined using analysis of variance: the Kruskal-Wallis test, the"t" test, the Mann-Whitney test, the? test, and Fisher's exact test, as appropriate.
After collection, the data were compiled andthe means were compared using analysis of variance for repeated measures ANOVA.
In the evaluation of the data using analysis of variance(anova) showed similarity between the results obtained, however the assessment with the paired t test, applied to electromyographic results, the right temporal muscle showed statistical significance in the comparison between prosthesis use versus prosthesis with posterior crossbi.
Descriptive statistics data were expressed as mean± standard deviation using analysis of variance and the Student-Newman-Keuls method.
The groups were compared using Analysis of Variance ANOVA when variable distributions were normal Gaussian, such as for one of the primary variables of interest, the histogram, as well as for ethnicity, age of the pregnant woman, and gestational ages.
Statistical calculations, in order to compare the variables of interest atthe different time points, were performed using analysis of variance with repeated measurements.
The significance of the differences between the three age groups was verified using analysis of variance with one criterion for the nasopharyngeal area and using the chi-squared test for respiratory symptoms.