Examples of using Differences between means 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
For statistical analysis, the Mann-Whitney U test was used to detect differences between means of non-parametric data,
they did not differ by Duncan test at 5% probability of differences between means.
Student's t test for independent samples was used to investigate differences between means of the LIP vs. NoLIP individuals in the pre moment for the continuous variables with normal distribution
because the low variability promotes the statistical significance of the differences between means.
using the Scheffé test[7], considering statistically significant the differences between means whose P value was less than 5.
lower magnitude of differences between means and by the more regular distribution pattern in Bland and Altman's graphs.
with the following parameters: study power of 80% to detect differences between means above 0.33 with level of significance of 0.05,
since the third measurement showed smaller differences between means, a higher ICC,
Student's t test to compare differences between means and Mann-Whitney U test for nonparametric comparisons;
Comparison of instability levels showed differences between mean values for F0 SD p.
The difference between means implies that the rehabilitation actions promoted to amputees may not have been satisfactory.
The difference between means was tested using the non-parametric test Wilcoxon,
The Mann-Whitney test was used to verify the difference between means and the Effect Size ES was additionally verified with the GPower® 3 software.
When difference between means was significant,
The Wilcoxon test for paired data examined differences between mean continuous variables,
Additionally, the effect size, which measures the difference between means in terms of standard deviation units d=0.24, was also considered small.
This means that the chance of this difference between means be due to chance
Pulse pressure, obtained with ABPM and calculated by the difference between mean 24-hour systolic
Continuous data sets were analyzed by the difference between mean values and their respective standard deviations.