Mathematical Model for Predicting the Rate of Human Happiness: A study of Federal University Wukari community of Nigeria
Автор: Ogwumu Onah David, Kyagya T. Yusuf, Amakoromo Grace I., Keto, Kingsley M., Ezeh A. Tochukwu., Ogofotha Marvellous O., Elugah Joseph I.
Журнал: International Journal of Mathematical Sciences and Computing @ijmsc
Статья в выпуске: 6 vol.6, 2020 года.
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The research is concerned with the development of a mathematical model for predicting the rate of human happiness and to outline factors that influence human happiness. The model was optimized and observation about the model’s extreme value was made. The outcome of the optimization result showed that happiness has neither minimum nor maximum level that should be required in human. It means someone’s happiness could be close to 0% or even be up to 100%. Thereafter, the model was analysed and the collated real-life data were correlated with those of the model data (H model) using suitable statistical tools. The findings from the correlation result showed that the questionnaire result attained a 70% degree of correlation with the estimated model result (H model), and thus recommending the model as a standard measure for predicting the rate of human happiness.
Happiness, Model development, Age, Challenges, Optimization of the model, Correlation coefficient, Constant of integration
Короткий адрес: https://sciup.org/15017570
IDR: 15017570 | DOI: 10.5815/ijmsc.2020.06.05
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