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Version actuelle en date du 27 décembre 2016 à 05:18

0 software for biostatistics. The results are shown in tables and graphs by the number of cases, percentage, means, standard deviations and ranges. To test differences were used chi-square, Student��s t-test and Kolmogorov-Smirnov test normal distribution. All the results of statistical tests with P of patients by gender shows that there is a statistically significant difference from the expected distribution with a high number of males 82.26% then females 17.74% (chi-square = 27.382, p years. Analysis YES1 of the average age of the total sample shows that was 37.19 �� 20.12; 1.8 �� SEM. The average age for men was 35.45 �� 19.89; for women 45.27 �� 19.64. Statistical analysis by Student��s t-Test shows that there is no statistically significant deviation (p> 0.05) from the expected distribution in our sample. Representation of patients by occupation: child 4.83%, student 22.57%, clerk 9.67%, employee 26.61%, retired 20.16%, unemployed 16.12% (x2 = 20.799; p = 1933-3), statistical analysis by chi-square test shows that there is a significant difference in favor of workers (p PR-171 molecular weight data showed that there is a statistically significant AZD9291 molecular weight difference in favor of wooden items as the most common cause of injury (p (X2 = 70.322, p = 5.800-3), 89 patients (71.77%) were hospitalized in the first 24 hours after injury. Statistical analysis shows that there is a significant difference in favor of patients who are cared for in the first 24 hours after injury (p