Treatment Analysis of COVID-19 Patient with Age Factor Using Chi Square Test

Abstract

A hypothesis provides the map that guides and expedites the exploration of the phenomena under consideration. A hypothesis pin points the problem.. The hypothesis provides the investigator with the most efficient instrument for exploring and explaining the unknown facts. A hypothesis provides the framework for drawing conclusions. These hypotheses simulate the investigator for further research studies. In this paper used Hypothesis testing with chi square test to analysis COVID -19 Patient treatment and age factors. Using Hypothesis testing we want to check State for the null and alternative hypotheses. The null hypotheses say that COVID - 19 patient treatment and age factors are related with each other and alternate hypothesis say that there is no relationship exist COVID -19 patient treatment and age factors. We have taken more 1000 COVID -19 infected patient treatment with age factor. We select a random sample of 300 and 400 patient and by experimental analysis we found that the age is not a factor for required treatment. COIVD-19 infected patient can we any of the age group and required treatment are dependent on the immunity system of the patient. Keywords: Hypothesis, Patient COVID-19, Treatment, Age Factor, Immunity