Examples of using Possible differences between groups 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
Possible differences between groups were tested by Student's t-test for independent samples.
The student t test, using a significance level of 5%,was conducted to determine possible differences between groups.
Possible differences between groups were investigated by unpaired t-test or the Mann-Whitney test, when appropriate.
The statistical analysis used the Kruskal-Wallis test,in order to check possible differences between groups.
Mantel-Haenszel test was used to evaluate possible differences between groups in sensitivity and muscle strength during evaluated moments.
Possible differences between groups were analyzed by unpaired t-test, whereas differences between placebo and bronchodilator use were analyzed by paired t-test.
The collected data were statistically analyzed by applying the Mann-Whitney Test,in order to verify possible differences between groups for the variables of interest.
Possible differences between groups were analyzed using Student's t test for independent samples, where variables had normal distribution, or the Mann-Whitney U test if data distribution was not normal.
Another statistical analysis method used was the application of the Likelihood Ratio test in order to verify possible differences between groups regarding a variable of interest stuttering severity.
The Mann-Whitney test was used to verify the possible differences between groups while the Spearman Correlation Analysis had the objective to verify the relationshio level among variables 12.
The inferential analysis was obtained through the analysis of variance ANOVA, which is aimed to compare three ormore groups of information to identify possible differences between groups as to performance.
Finally, ANOVA was used to test for possible differences between groups and monthly assessments 3 groups and 5 monthly assessments, treated as repeated measures with the following dependent variables: AIMS score, AIMS percentile and age at each motor milestone.
The ratings obtained by the different cutoff points were compared, as were the groups of individuals with andwithout involvement based on the approaches proposed by different authors to analyze possible differences between groups.
Then ground reaction force, support time, Froude number andmean gait speed underwent analysis variance ANOVA one way followed by the post-hoc Bonferroni test to identify possible differences between groups.
The cardiorespiratory responses during graded exercise test were analyzed between two groups at rest, VAT andpeak of exercise using two-way analysis of variance ANOVA with repeated measures to test possible differences between groups.
Means and standard-deviations of anthropometric variables were calculated for schoolchildren stratified into three groups not overweight, overweight and obese, performing analysis of variance one-way ANOVA; to establish possible differences between group means, the Tukey test was used p< 0.05.
The Bonferroni post-hoc test was used to identify possible differences between the groups.
In Table 2, possible differences between these groups are analyzed in the categories studied.
The study also used the chi-square test to verify possible differences between age groups and tumor diameters.
To verify possible differences between both groups studied for the variables of interest was applied the Mann-Whitney test.
The scanning electron microscopy evaluated the surface fracture after rotating bending test to check for possible differences between the groups.
The application of Fisher's exact test was performed to verify possible differences between both groups for the variables of interest.
Meta analyses increase the statistical power to detect possible differences between assessed groups and the accuracy of data estimation, reducing the confidence interval.
It is possible that differences between groups would be stronger and even more significant if ultrasound propagation velocity was evaluated from the beginning of the healing process.
Analysis of Variance ANOVA was used for inferential statistics, aiming to identify possible differences between the groups DD and typical development regarding the quantitative variables of motor performance, environmental resource and participation at school.
Results were statistically analyzed in absolute values of the respective arithmetic means and standard deviation through the analysis of variance one-way ANOVA and Duncan post-hoc test,in order to find possible differences between the groups.
Before carrying out statistical analyses to verify possible differences between the groups, normality tests and tests for homogeneity of variances were performed and, when necessary, variables were transformed so that these prerequisites were met.
Recently, a study involving several regions has been conducted with the purpose of determining the standard ages for the clinical administration of the test and possible differences between the groups of risk, confirming that the standards are appropriate to be used with the general population.
After checking the normality of the data, so that the groups were compared in the two time points,we performed analysis of variance ANOVA to verify possible differences between the groups.
In order to verify possible differences between the groups, a analysis of variance ANOVA and three multiple analyses of variance MANOVA were applied, having the groups as factor CG and EG.