2020, Vol. 1, Issue 2, Part A
Comparative statistical assessment of air pollution in Okobaba sawmill Nigeria by the use of frechet distribution
Author(s): Akintunde Oyetunde A and OJO Faith Afolabi
Abstract: The air pollution data in this research study are stratified into three strata which are: Nitrogen (IV) Oxide, Sulphur (IV) Oxide, and Carbon Monoxide. Chi-square test and the analysis of variance were used to analyze the collected data. The data collected for carbon monoxide, Nitrogen (IV) oxide and Sulphur (IV) oxide fit into Frechet distribution because their chi-square tabulated values are less than their chi-square calculated values, which implied that Frechet distribution can be used for analyses and control of air pollution in Nigeria. It was statistically established that requiring probabilistic distributions to better describe each phenomenon or experiment studied and making available data more fit and reliable. This research study therefore recommends that the use of observations in field studies to develop the empirical source-receptor relationships (for instance, using Frechet distribution and statistical receptor models) should be put into consideration to improve the air pollution in developing countries like Nigeria.
Pages: 36-42 | Views: 495 | Downloads: 233
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How to cite this article:
Akintunde Oyetunde A and OJO Faith Afolabi. Comparative statistical assessment of air pollution in Okobaba sawmill Nigeria by the use of frechet distribution. Journal of Mathematical Problems, Equations and Statistics. 2020; 1(2): 36-42.