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Statistical Analysis for the Production of Irrigated Wheat in Syria during the period 2000-2010

التحليل الإحصائي لإنتاج القمح المروي في سورية خلال الفترة 2000-2010

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 Publication date 2013
and research's language is العربية
 Created by Shamra Editor




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There are many ideas that come to the mind and many questions that keep coming to the mind when it comes to analyzing the phenomenon of using the methods and tools to help in the planning and making appropriate decisions. In this research we tried to display the importance of statistics and the most important methods depending on the number of variables used in this analysis: descriptive statistical indicators in case we had one variable, indexes in case we had two variables, and factor analysis and analysis of variance in case we had several variables. These methods were applied to production of irrigated wheat crop, both types soft and hard, during the period 2000 - 2010 and the factors affecting its production, such as: the cultivated area, yield, fertilizers, water, the average cost and the average price. Then the data were analyzed using the Statistical package SPSS and program Excel. After that, they summarized in two main factors that justify together (86.116%) of the overall variance. The first factor was related to the land and everything related to it through a set of variables, which are: the cultivated area and the need to fertilizers and water., The second factor was the importance of the selling price of the crop per kilogram.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة التحليل الإحصائي لإنتاج القمح المروي في سوريا خلال الفترة 2000-2010، حيث تم استخدام مجموعة من الأساليب الإحصائية لتحليل البيانات المتعلقة بإنتاج هذا المحصول الاستراتيجي. تم استخدام المؤشرات الإحصائية الوصفية لتحليل المتغيرات الفردية، والأرقام القياسية لتحليل العلاقة بين متغيرين، والتحليل العاملي وتحليل التباين لتحليل المتغيرات المتعددة. تم تطبيق هذه الأساليب على بيانات الإنتاج والعوامل المؤثرة فيه مثل المساحة المزروعة، المردود، الأسمدة، المياه، متوسط التكلفة، ومتوسط السعر. أظهرت النتائج أن العاملين الرئيسيين المؤثرين في الإنتاج هما الأرض وما يتعلق بها من متغيرات مثل المساحة المزروعة والأسمدة والمياه، وسعر بيع الكيلوغرام من المحصول. تم تحليل البيانات باستخدام برامج SPSS وExcel، وتم تلخيص النتائج في عاملين يفسران معاً 86.116% من التباين الكلي. أوصت الدراسة بضرورة معرفة نوع البيانات والأساليب الإحصائية المناسبة لتحليلها بشكل صحيح للمساهمة في اتخاذ القرارات الاستراتيجية المتعلقة بإنتاج القمح في سوريا.
Critical review
دراسة نقدية: تعتبر هذه الدراسة من الدراسات الهامة التي تسلط الضوء على أهمية استخدام الأساليب الإحصائية في تحليل البيانات الزراعية، وخاصة محصول القمح المروي في سوريا. ومع ذلك، هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من المفيد تضمين تحليل أعمق للعوامل الاقتصادية والسياسية التي قد تؤثر على إنتاج القمح، مثل السياسات الزراعية والدعم الحكومي. ثانياً، كان من الممكن توسيع نطاق الدراسة ليشمل مقارنة بين إنتاج القمح في سوريا ودول أخرى ذات ظروف مشابهة، مما قد يوفر رؤية أوسع ويساعد في تحسين استراتيجيات الإنتاج. وأخيراً، كان من الأفضل توضيح بعض المصطلحات الإحصائية بشكل أكثر تفصيلاً لجعل الدراسة أكثر فهماً للقراء غير المتخصصين في الإحصاء.
Questions related to the research
  1. ما هي الفترة الزمنية التي تم تحليل إنتاج القمح المروي فيها في هذه الدراسة؟

    تم تحليل إنتاج القمح المروي في سوريا خلال الفترة 2000-2010.

  2. ما هي العوامل الرئيسية التي تؤثر على إنتاج القمح المروي وفقاً للدراسة؟

    العوامل الرئيسية التي تؤثر على إنتاج القمح المروي هي المساحة المزروعة، المردود، الأسمدة، المياه، متوسط التكلفة، ومتوسط السعر.

  3. ما هي البرامج الإحصائية التي تم استخدامها في تحليل البيانات في هذه الدراسة؟

    تم استخدام برامج SPSS وExcel في تحليل البيانات.

  4. ما هي نسبة التباين الكلي التي تم تفسيرها من خلال العاملين الرئيسيين في الدراسة؟

    تم تفسير 86.116% من التباين الكلي من خلال العاملين الرئيسيين.

Keywords

References used
المجموعة الإحصائية الزراعية السنوية للأعوام ( 2000-2006-2009 ), وزارة الزراعة و الإصلاح
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