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The METERIC Data Mart was used to record the data values for demographic data, cardiovascular, hemodynamic, and pulmonary variables. The continuous data values were taken and then a 24-hour median were calculated. There was a manual validation that was done in order to calculate the five different percentage values at each extreme of the range. The results of the study calculated continuous and categorical data from the Wilcoxon, chi-square, or Fisher exact test, depending on which method would best represent the rescue techniques and subjects. There was a propensity score made too for each method. With the propensity score, Franco, et al. were able to make univariate and multivariate analyses based on the

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First, the study was considered a retrospective study because the study was looking at data from 2005-2010. Second, there was both continuous and categorical data included in the study. This data was then used in the Wilcoxon, chi-square, or Fisher exact test in order to make them comparable. Also there was a propensity score that was calculated from the data collected in the study. Third, the study included pie graphs and a bar graph. These graphs were used to compare the data in the study. Fourth and final, there was a table in the article that showed and compared all of the data obtained from the study. The table included one of the measures of center, the median. The statistical data in the article helps to display the information found in the