An Implementation Model to Analyze Immunity System Using U-Test after First and Second Dose of Covishield for COVID-19

An Implementation Model to Analyze Immunity System Using U-Test after First and Second Dose of Covishield for COVID-19
Author(s):
Sakshi Vyas, Dr.Neha Bharani
Keywords:
Covishield, Population, Sample , Random, Hypothesis, Testing
Abstract
Using Hypothesis Testing, we try to interpret or draw conclusions about the population using sample data. A Hypothesis Test evaluates two mutually exclusive statements about a population to determine which statement is best supported by the sample data. Hypothesis testing includes both parametric and non-parametric tests. Parametric tests are those tests for which we have prior knowledge of the population distribution (normal), or if not then we can easily approximate it to a normal distribution. In Non-Parametric tests, we don’t make any assumption about the parameters for the given population or the population we are studying. . In The proposed work we have taken populations which are vaccinated by using Covishield to protect people from Covid-19. We want identify the immunity of the people after first dose and after second dose using Covishield vaccine. We used large population which are vaccinated and take random sample size for first and second dose for large population. We have collected data sample from 8 different Zone of Indore city and the population size is more 10,000.
Article Details
Unique Paper ID: 156323 Publication Volume & Issue: Volume 9, Issue 8 Page(s): 697 - 701
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