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		<title>Goldferry8 : Page créée avec « 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 wer... »</title>
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				<updated>2016-12-27T03:18:48Z</updated>
		
		<summary type="html">&lt;p&gt;Page créée avec « 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 wer... »&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Nouvelle page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;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 [http://en.wikipedia.org/wiki/YES1 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&amp;gt; 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 [http://www.selleckchem.com/products/carfilzomib-pr-171.html PR-171 molecular weight] data showed that there is a statistically significant [http://www.selleckchem.com/products/azd9291.html 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&lt;/div&gt;</summary>
		<author><name>Goldferry8</name></author>	</entry>

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