Analysis of male persons did slightly more infected than female persons with COVID-19
Keywords:
hypothesis testing, chi square, COVID-19, population, Z test, normal distributionAbstract
The Z-test is a hypothesis testing tool that can be used to detect whether a mean result for large population is statistically significant the population is normal distribution. It is a statistic based approach which is used to identify whether we canapproximated the given distribution by a distribution which isnormal. It is used to identify whether means of twosamples are approximately the identical or different. It is useful when the size of the sample is large (should be >= 30).In this paper we apply Z- test on large covid-19 infected population for Indore city. From the large population covid-19 infected population it is difficult to check and identify that how many male and how many female persons are infected. Large numbers of tests are conducted for suspected male and female person for covid-19. There are so many statistical tools are available to analysis the data set but it is difficult to select tool. Using Z test we want check that Male persons did slightly more infected than female Persons with Covid-19. We calculate test statistics and values of Z and compare it with standard normal distribution for Z value. We used random sample size for both male and female persons.
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