Statistical probability distributions of the noble Quran

المؤلف

Butani, Dilshad Shakir Ismail

المصدر

ZANCO Journal of Pure and Applied Sciences

العدد

المجلد 29، العدد 2 (30 إبريل/نيسان 2017)، ص ص. 106-116، 11ص.

الناشر

جامعة صلاح الدين قسم النشر العلمي

تاريخ النشر

2017-04-30

دولة النشر

العراق

عدد الصفحات

11

التخصصات الرئيسية

الرياضيات
الدراسات الإسلامية

الموضوعات

الملخص EN

Classification of raw data through a frequency distribution is very important to determine the nature of the data distribution (probability distribution) and their structures.

This paper describes the classifications of the number of verses (Ayas), words and letters in the chapters (Sura) of the Noble Quran using frequency distributions (tables) and then drawing histograms for each of the three types in order to find their structures.

The main objective of this paper is to test and compare the frequency distributions of verses, words and letters of the Noble Quran with the common theoretical probability distributions using appropriate statistical methods.

The results showed that the probability distributions for the number of verses and words per Quranic chapter are Exponential and Gamma respectively.

The software which had been using to obtain data was QuranCode software created by Adams, and Excel, Statgraphics Centurion XV, and EasyFit 5.5 programs used for the data analyses.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Butani, Dilshad Shakir Ismail. 2017. Statistical probability distributions of the noble Quran. ZANCO Journal of Pure and Applied Sciences،Vol. 29, no. 2, pp.106-116.
https://search.emarefa.net/detail/BIM-791192

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Butani, Dilshad Shakir Ismail. Statistical probability distributions of the noble Quran. ZANCO Journal of Pure and Applied Sciences Vol. 29, no. 2 (2017), pp.106-116.
https://search.emarefa.net/detail/BIM-791192

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Butani, Dilshad Shakir Ismail. Statistical probability distributions of the noble Quran. ZANCO Journal of Pure and Applied Sciences. 2017. Vol. 29, no. 2, pp.106-116.
https://search.emarefa.net/detail/BIM-791192

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes appendix : p. 114-116

رقم السجل

BIM-791192