Through a questionnaire survey of primary and secondary school teachers and Normal Students to carry out a statistical analysis of the data based on SPSS 17.0 statistical analysis software. So we draw primary and seco...Through a questionnaire survey of primary and secondary school teachers and Normal Students to carry out a statistical analysis of the data based on SPSS 17.0 statistical analysis software. So we draw primary and secondary school teachers and normal students to arrive at the current status quo of educational technology ability and analyzes the strengths and weaknesses of the ability of its parts. Finally, we proposed new initiatives and methods of education and technical ability training.展开更多
Objective： This research analyzes data on road traffic accidents （RTA） in Fars province, whose roads are among the highly dangerous ones in Iran. It inves- tigates educational level and age involved in RTA in order...Objective： This research analyzes data on road traffic accidents （RTA） in Fars province, whose roads are among the highly dangerous ones in Iran. It inves- tigates educational level and age involved in RTA in order to discover patterns that can prevent or decrease accidents. Methods： This research made use of data visualization techniques to find hidden patterns. The data included mor- tality rate related to RTA in Fars province and were obtained from Fars Forensic Medicine Registry covering a period of 1 year from March 21, 2010 to March 21, 2011. All data were analyzed using SPSS 11.5. The results were reported as de- scriptive indices such as frequency （percentage）. The Chi- square test was applied to the data concerning educational level and age. P value less than 0.05 was considered significant. Results： In the mentioned period, 1 831 people were killed, out of whom un/lowly educated people （69.6%） ac- counted for the highest mortality rate. The significant rela- tionship between educational level and mortality rate was found （X2=275.98, P〈0.0001）. Also three was a significant association between age and mortality rate （X2=371.20, P〈0.0001）. Young people （age between 20 and 29 years） contribute to higher RTA mortality rate compared with other age groups. Conclusion： The educational level and age are signifi- cantly correlated to mortality rate. The youth and un/lowly educated people suffer more fatal RTA.展开更多
文摘Through a questionnaire survey of primary and secondary school teachers and Normal Students to carry out a statistical analysis of the data based on SPSS 17.0 statistical analysis software. So we draw primary and secondary school teachers and normal students to arrive at the current status quo of educational technology ability and analyzes the strengths and weaknesses of the ability of its parts. Finally, we proposed new initiatives and methods of education and technical ability training.
文摘Objective： This research analyzes data on road traffic accidents （RTA） in Fars province, whose roads are among the highly dangerous ones in Iran. It inves- tigates educational level and age involved in RTA in order to discover patterns that can prevent or decrease accidents. Methods： This research made use of data visualization techniques to find hidden patterns. The data included mor- tality rate related to RTA in Fars province and were obtained from Fars Forensic Medicine Registry covering a period of 1 year from March 21, 2010 to March 21, 2011. All data were analyzed using SPSS 11.5. The results were reported as de- scriptive indices such as frequency （percentage）. The Chi- square test was applied to the data concerning educational level and age. P value less than 0.05 was considered significant. Results： In the mentioned period, 1 831 people were killed, out of whom un/lowly educated people （69.6%） ac- counted for the highest mortality rate. The significant rela- tionship between educational level and mortality rate was found （X2=275.98, P〈0.0001）. Also three was a significant association between age and mortality rate （X2=371.20, P〈0.0001）. Young people （age between 20 and 29 years） contribute to higher RTA mortality rate compared with other age groups. Conclusion： The educational level and age are signifi- cantly correlated to mortality rate. The youth and un/lowly educated people suffer more fatal RTA.
