Exemplos de uso de Interquartile interval em Inglês e suas traduções para o Português
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Median was 2 interquartile interval from 0 to 6.
Data were presented as median and interquartile interval.
For burns, the median and interquartile interval for boys and girls in the three age periods was 0 0-0.
In the fifth minute, the median was 8, with interquartile interval 7-9.
An increase of 10.5?g/m interquartile interval in the levels of particulate material PM10 lead to for 1.029 95%CI 0.991;1.09 in the GAM-PCA-SAR model.
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Non-parametric variables were summarized in median and interquartile interval 25 and 75.
Median was 21, with interquartile interval between 19 and 26.
The level of family members' satisfaction is expressed as the median and interquartile interval P25- P75.
Median was 0, with interquartile interval from 0 to 0.
Most of thepatients were males[28/46 69.1%] with an age median md of 37.5 interquartile interval IIQ 17.
Median was 0, with an interquartile interval between 0 and 1.
For the analysis of this stage, we used the resource of the mean andmedian descriptive statistics and interquartile interval.
The scores were described as median and interquartile interval IQI, and statistical significance was defined as p< 0.05.
The characteristics of the participants were described by means of the median, interquartile interval, minimum and maximum.
Continuum variables were expressed in mean± standard deviation SD or median and interquartile interval, according to normality or asymmetry of its distribution, respectively, and the categorical variables were expressed in percentiles.
The mean concentration of PM2.5 for the whole period was 11.8 µg/m SD 3.5, with interquartile interval of 4.2 µg/m Table 2.
Numerical data were described as mean and standard deviation ormedian and 25-75% interquartile interval, and compared using the Student t test if the data distribution was normal, or with the Mann-Whitney test for non-parametrical data.
Metabolic, physical fitness, andfunctional ability indicators are expressed as mean±standard deviation or median interquartile interval.
For the relation GSH/GSSG,they are expressed in median and interquartile interval, and analyzed by means of Mann-Whitney's test.
After this transformation, only TG and age did not present a non-Gaussian distribution,of which data were described as medians and interquartile interval.
In the first minute a median value equal to 5, with interquartile interval of 3-7 was registered.
The qualitative variables were described by means of absolute and relative frequencies; and the quantitative variables, by means of mean andstandard deviation or median and interquartile interval.
Quantitative data were shown as median and interquartile interval. Qualitative data were shown as frequencies.
Since the variables studied did not present a normal distribution,we evaluated the medians and compared the interquartile interval between 25% and 75.
Data are presented as mean andstandard deviation or median and interquartile interval 25-75 according to tested distribution Shapiro-Wilk test.
The time elapsed between the onset of symptoms and patient arrival at the hospital was relatively long,with a median of 5 hours interquartile interval 1.1- 6.0 hours.
The distribution of articles was analyzed according to sub-area and the median was calculated interquartile interval- IQ, with the difference among sub-areas being assessed by the Kruskal-Wallis test.
Quantitative variables which presented symmetric distribution were described by mean± standard deviation SD andthose which presented highly asymmetric distribution were described by median interquartile interval.
Quantitative variables with asymmetric distribution were described by median and interquartile interval and then compared by Wilcoxon's test.
The amplitude of the distribution included people between 20 and 74 years with a median age of 32.5 years and interquartile interval between 27 and 41 years old.