How do I test a difference between two proportions representing fatality rate for Covid 19 in Philippines and World (except Philippines)?

I'm trying to analyse if the fatality rate from my country (A third world country) vary significantly from the world's fatality rate.

So I'd basically have two samples, labeled (Philippines) and (World excluding the Philippines) then i can compute the fatality rate for the 2 groups.

Does Mcnemar's test apply here for me to check if fatality rate in the Philippines is higher, or do you have any suggestions? Thanks

Topic distance self-study statistics

Category Data Science

1
answered at

Adding to a previous answer of applying an f-test (diff distributions) and/or z-test (diff means), I think it would help if you would group into age brackets and applied your analysis there too. Perhaps a certain population fares poorly in comparison while another fares well.

I'd also suggest you factor some element of "reliability of testing" into your analysis, being that many people around the world (perhaps the Philippines) don't have access to testing or are under-reported in some ways. Such a factor could be a confounding var.

This is really important work! Keep it up!

1
answered at

It is not a case of paired nominal data. Hence, Mc Nemar's test can not be applied to check whether there is a higher fatality rate in Philippines ?. THE fatality rate is given for Philippines and world ( excluding Philippines ). As defined, it is expressed as proportion. Therefore, t-test/z-test shall be appropriate given that you meet other conditions such as sample-size.

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