استخدام التحليل الاحصائي في دراسة واقع البنى التحتية للاسرة العراقية لعام 2013 == The Use of Statistical Analysis In The Study of The Reality of The Infrastructure of The Iraqi Was Captured In 2013
Author name:
زهراء علي هاشم
Supervisor name:
ابتسام كريم عبد الله
General topic:
Administration and Economics
Specific topic:
Applied Statistics
Degree:
Higher Diploma
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language:
Arabic
University location:
Baghdad
First pages:
07T3670 - p.pdf
Abstract:
تعد دراسة واقع البنى التحتية وتحليل مؤشراته ومحدداته من القضايا المهمة بالنسبة للعراق الذي يهدف الى تحقيق التنمية الاقتصادية والاجتماعية بصورة اكثر واقعية. لذلك اختير هذا البحث وبالاستعانة ببيانات مسح خارطة الفقر ووفيات الامهات في العراق الذي نفذ خلال ال | The study of the reality of infrastructure and the analysis of indicators and determinants are important issues for Iraq, which aims to achieve economic and social development more realistically. Therefore, this research was selected using the data of the survey of the poverty map and maternal mortality in Iraq carried out during the year 2013 by the Central Statistical Organization and using the SPSS to reach the variables that have a direct impact on the level of the infrastructure of the Iraqi family. The analysis was used to analyze the relationship between the twelve variables to reach the factors that actually affect the level of infrastructure, which included housing, electricity, water, sewage system, basic services. The cluster analysis method was adopted and the data of the twelve variables were converted to the standard formula. To eliminate the difference of units of measurement of these variables and thus ensure the validity of the implementation of the stage related to the process of data classification and determine the extent of the relationship between the Iraqi provinces in terms of similarity or difference and in the last stage to enter the methods of analysis and analysis. Two main methods of analysis were used : the main vehicle method and the main axis method. It was obtained through the results of the main vehicles method that there were two factors (the value of the underlying root is greater or equal to the correct one) namely housing, electricity, water and basic services factor with an explanatory capacity of 85.469 (847.82%) of the total variance, and the remaining 17.153% of the total variance, and the remaining 14.531% Due to other factors. Thus, the cluster analysis used two methods of hierarchical analysis, ie, the single link and the total linkage. The results were close to some minor differences among them. Most of the aggregates' tables were close to a small difference in transactions. This difference depends on the methodology of each method.
