Examples of using Descriptive data analysis 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
First, however, we present a descriptive data analysis.
A descriptive data analysis was performed in a table format.
Group characterization was conducted through descriptive data analysis.
The descriptive data analysis was made using SPSS version 12.
The statistical procedure adopted was descriptive data analysis mean and standard deviation values.
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A descriptive data analysis to determine ulcer frequency was performed.
The pof 2002/2003 are also used for comparison purposes within the descriptive data analysis, but are not used for estimation.
Descriptive data analysis, chi-square and fish exact tests were performed.
The quantitative approach involves using statistical procedures such as descriptive data analysis, as well as regression models using unbalanced panel datasets.
Descriptive data analysis of stimuli by non-specialist judges can be verified inTable 4.
To perform the descriptive data analysis, cases were divided into two groups.
Descriptive data analysis showed that 50% of the countries showed adult obesity prevalence greater than 20.
For that purpose, was used for the descriptive data analysis to describe and characterize quantitatively, based on secondary data, rural housing issue in brazil.
Descriptive data analysis was performed and the 95% confidence interval for the mean value of each nutrient was calculated.
The quantitative analysis included a descriptive data analysis, pearson and spearman correlation analysis, as well as multivariate regression analysis with panel data. .
Descriptive data analysis was performed, as well as the non-parametric comparison between groups before and after drug administration.
Performed in software SPSS 17, through descriptive data analysis, Intra-class Correlation Coefficient ICC, Pearson Product-moment Correlation Coefficient r, paired t-test, and one-way ANOVA.
Descriptive data analysis was performed through absolute and relative frequencies, central trend mean and median and dispersion measures standard deviation, minimum and maximum.
We performed a descriptive data analysis using the absolute and relative frequencies, measures of central tendency and dispersion.
Descriptive data analysis was performed using qualitative variables for relative frequencies percentages, and the absolute frequency N of classes for each qualitative variable.
First, we performed descriptive data analysis, and verification of normal data distribution through Shapiro-Wilk's test.
The descriptive data analysis is presented through the average, standard deviation, and minimum and maximum values.
For descriptive data analysis, position measurements average, minimum and maximum and dispersion Standard Deviation were calculated.
In the descriptive data analysis, a 95% confidence interval was selected and the significance level used in this study was 0.05 5.
The descriptive data analysis was conducted with the table presentation of the frequency distribution relative and absolute of selected variables.
For descriptive data analysis, position and variability measurements were used for continuous variables, and simple frequency for categorical variables.
First, a descriptive data analysis was made in forms of tables and then a difference analysis between the groups taking a significance level of 5% p.
Furthermore, descriptive data analysis mean and standard deviation were carried out, as well as verification of the data distribution by Shapiro Wilk test.
For descriptive data analysis, position mean, median and variability standard deviation were used for continuing variables and simple frequency measures for categorical variables.
An initial descriptive data analysis was performed with relative frequencies for the categorical variables, means and standard deviations for the symmetrical continuous variables, and medians and interquartile ranges for the asymmetrical continuous variables.