Exemplos de uso de Student t test was used to compare em Inglês e suas traduções para o Português
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Student t test was used to compare pressures.
In the statistical analysis, the Student t test was used to compare the initial data of participants' ages.
Student t test was used to compare two independent groups.
Continuous variables were expressed as mean andstandard deviation, and Student t test was used to compare the differences.
The Student t test was used to compare continuous parameters.
ANOVA followed by Bonferroni test was used to compare the intragroup means, while the Student t test was used to compare intergroup means.
The Student t test was used to compare means.
For numerical measurements, summarized measurements mean and standard deviation were calculated for each group, and the non-paired Student t test was used to compare means between both groups.
The Student t test was used to compare means between two groups.
The non paired Student t test was used to compare age-related results.
Student t test was used to compare weight loss severity between male and female.
In the comparisons between two groups Student t test was used to compare parameters with normal distribution and Mann Whitney U test for the parameters without normal distribution.
Student t test was used to compare two independent groups and Mann-Whitney test as its non-parametric correspondent.
The Student t test was used to compare means.
The Student t test was used to compare the scores of the two groups.
The Student t test was used to compare independent parametric means of normal behavior between both groups.
Paired Student t test was used to compare the numerical variables, expressed as mean and standard deviation.
The Student t test was used to compare quality of life in the pre-harvest between the dropouts and non-dropouts.
The Student t test was used to compare the distribution of numerical parameters measured at one moment.
The Student t test was used to compare the mean scores for height and weight at operation and postoperative periods.
The Student t test was used to compare means and odds ratio OR with a 95% confidence index.
The Student t test was used to compare blood pressure, infarct size, heart NOx levels and coronary flow CK-MB and LDH between control and SD groups.
The Student t test was used to compare differences between continuous variables with gaussian distribution and the Kruskal Wallis test when these variables did not show the same distribution.
Student t test was used to compare numerical variables and Chi-square test was used for categorical variables. Dependent variable of the study was occupational status.
The Student t test was used to compare the distribution of approximately normal, continuous variables, and the Wilcoxon/Mann-Whitney U test was used for the comparisons of continuous variables without normal distribution.
The Student t test was used to compare the distributions of normal, continuous variables, while the Wilcoxon/Mann-Whitney test, to compare continuous variables without normal distribution.
The Student t test was used to compare means of two groups and when the supposition of normalcy of the data was refused the non-parametric Mann-Whitney test was used. .
The Student t test was used to compare continuous parameters, and Simple Analysis of Variance One-way ANOVA followed by Tukey post-hoc test for multiple comparisons, was used for the comparison among three or more groups.
The Student t test was used to compare the averages among the groups categorized in qualitative variables. The Mann-Whitney and Kruskal-Wallis rank tests were used when the t test and ANOVA requirements were not met normality for small groups n.
Student t test was used to compare continuous parameters with normal distribution, according Kolmogorov-Smirnov test, among the study groups; and for parameters that did not show normal distribution, the non-parametric Mann-Whitney and Kruskal-Wallis tests were used. .