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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)

ISSN:2141-7016

Article Title: On Statistical Tests for Transmission of Ailments
by Dawodu, G A, Asiribo, O E, Adelakun, A A, Ozoje, M O and Akinwale, T A

Abstract:
This work is an attempt to deriving a statistic to convincingly and parametrically attest to the fact that an ailment is transmitted when it really is. Researchers into the transmission of ailments are used to presenting their results in tabular 2xf format and leave their audience to comment as they wish on their results. We feel that it is important that we present all comments by first showing parametrically or otherwise that the identified ailment is transmitted. Towards this end, we derived a statistic that is chi-squared-typed (x2(k-t)) and illustrated its usefulness with respect to checking whether an ailment can be said to be 'statistically' transmitted. Our test was carried out on two secondary data to demonstrate its effectiveness.
Keywords: transmission, ailment, tests, chi-square distribution
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom

 

 

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