Statistical probability distributions of the noble Quran
Author
Source
ZANCO Journal of Pure and Applied Sciences
Issue
Vol. 29, Issue 2 (30 Apr. 2017), pp.106-116, 11 p.
Publisher
Salahaddin University-Erbil Department of Scientific Publications
Publication Date
2017-04-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Topics
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 114-116
Record ID
BIM-791192