Exemplos de uso de Standard deviation for quantitative variables em Inglês e suas traduções para o Português
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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
Statistical analysis was described by mean and standard deviation for quantitative variables.
Were calculated the mean and standard deviation for quantitative variables and comparison between groups was made by analysis of variance ANOVA.
The results were expressed as mean,median and standard deviation for quantitative variables.
Mean and standard deviation for quantitative variables and absolute and relative frequency for qualitative variables were calculated.
After collection, selected variables were summarized as figures and percentages for qualitative variables andas mean± standard deviation for quantitative variables.
Values are presented as mean± standard deviation for quantitative variables and as frequency for categorical variables. .
We used the absolute n and relative% frequencies for nominal qualitative variables, and the mean and standard deviation for quantitative variables and to describe the values found.
All data were expressed as mean and standard deviation for quantitative variables, and as absolute and relative frequencies for qualitative variables. .
All information and results were analyzed using the statistical software Epi Info™ 3.5.2 for Windows,with descriptive calculation of mean and standard deviation for quantitative variables and frequency of qualitative variables. .
Descriptive statistics were summarized by mean and standard deviation for quantitative variables and absolute and relative frequency for qualitative variables. .
Data collected were organized in spreadsheet and double-checked, to reduce the possibility of error. The analysis were performed in the software R. In order to address the socioeconomic and clinical data, we used absolute and relative frequency, when the variables were qualitative, and measures of position mean, minimum andmaximum and dispersion standard deviation for quantitative variables.
A statistical analysis was part of the comparison between the two groups andincluded a calculation of central tendency measures mean and dispersion standard deviation for quantitative variables as well as frequency distributions% for qualitative variables. .
The descriptive results were obtained by frequencies and percentages for the characteristics of the various categorical variables and attainment of measures of central tendency mean andmeasure of dispersion standard deviation for quantitative variables.
All information and results were analyzed using the Statistical Package for the Social Sciences SPSS 15.0 for Windows,with descriptive calculations for mean and standard deviation for quantitative variables, and frequency for qualitative variables. .
Values were expressed as means and their standard deviations for quantitative variables.
The results are shown as means and standard deviations for quantitative variables, and as frequencies percentages for qualitative variables. .
A descriptive analysis of the data was conducted using the means and standard deviations for quantitative variables or medians and interquartile ranges, while categorical variables were expressed as frequencies and percentages.
Data were collected during 2013, with the first collection in august and the second in december andanalyzed by means of averages and standard deviations for quantitative variables, which were compared using the t test of student.
The data were analyzed via descriptive statistics,averages and standard deviations for quantitative variables age, height, weight, body mass index, number of pregnancies, VAS and frequency distribution for categorical variables parity, pregnancy period, marital status, education level, family income, type of syndrome, pain location, pain onset circumstances, and nature of pain.
The results were expressed in mean and standard deviation for the quantitative variables and in number and percentage for the categorical variables. .
The results were analyzed through average descriptive statistics and standard deviation for the quantitative variables and absolute and relative frequency for the qualitative variables. .
Data are presented as frequency andpercentage for the categorical variables and as mean and standard deviation for the quantitative variables.
To characterize the sample, we used descriptive statistics; anddata are presented as mean X± standard deviation SD for quantitative variables, and absolute f and relative% frequencies for qualitative variables. .
For sample characterization, we used descriptive statistics, by mean and standard deviation for the quantitative variables; frequency for categorical variables; and non-parametric variables were summarized in median and interquartile range 25% and 75.