Statistical Models for the Assessment of the Students for Undeveloped Country

Abstract

In the study, we analyzed and evaluate some characteristics which have a high impact on obstacles in the education of the students and have shown a significant relationship with the obstacles that seriously impede the realization of future goals of schools.  Samples are taken from secondary and higher secondary schools in the Dhaka district of Bangladesh. The sample of the study consisted of 300 students who were randomly selected from 52 schools. The data were collected using a questionnaire from randomly selected samples and some questions were developed by using a five-point likert scale. The data collection pertaining to this study involves both primary and secondary methods. A questionnaire for such purpose is designed and some statistical methods are applied to analyze the collected data. Factor analysis is used to find out the significant factors from the data. We then developed some independent variables to show the significant relationship with the students’ degree of suffering from the problems encountered in their external readings. The technique of descriptive statistics such as mean and standard deviation are used to determine the variability of various obstacles of the students. We performed the analysis of variance for every independent variable and the results show that all the variables are highly significant with the external readings of the students. Finally the results of logistic regression tells us the offering variables have a positive impact on overall external readings and crucial for the students who are facing problems in education.