A Study on Factors Affecting the Cure of Tuberculosis Infection in Nigeria via Three Factor ANOVA

Authors

  • Egbo Mary Nkechinyere Department of Statistics, Federal University of Technology, Owerri, Nigeria
  • Opara Jude Department of Statistics, Imo State University, Owerri, Nigeria

DOI:

https://doi.org/10.53555/ms.v1i1.911

Keywords:

Three factor ANOVA, Tuberculosis, Post-hoc test, Blood group, Class of Infection, Age.

Abstract

This study is on the factors affecting the cure of Tuberculosis infection. The data for the analysis were collected from Sacred Heart Hospital Abeokuta, Ogun State, and analyzed using three-factor Analysis of Variance (ANOVA). This was used independently to test for the significance of the effects of blood group, age, class of infection, and their various interactions. The statistical software packages known as Minitab version 17.0 and SPSS version 20.0 were used for the analysis. Based on the analysis of this work, it has been affirmed that patients with class one (+) infection consumes less time in treatment than their counterparts with class two (++) infection under the same condition of treatment. It was also affirmed that the older one gets in age, the longer it takes to get him treated of a tuberculosis (TB) infection. However, for people within the ages of childbirth to 49years, even with some observed differences in total time of treatment, there is no evidence that age really affects their rate of recovery. The result of multiple comparison of the age group reveals that the effect of age is only on ages from fifty years and above with more prolonged time of treatment when the whole patients are subjected to the same treatment.

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Author Biography

Egbo Mary Nkechinyere, Department of Statistics, Federal University of Technology, Owerri, Nigeria



References

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Published

2015-02-28

How to Cite

Nkechinyere, E. M., & Jude, O. (2015). A Study on Factors Affecting the Cure of Tuberculosis Infection in Nigeria via Three Factor ANOVA. International Journal For Research In Mathematics And Statistics, 1(1), 54–41. https://doi.org/10.53555/ms.v1i1.911