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    I have two groups and I'm comparing the vaccination in each group. All the data I have is
    group 1: vaccinated (230) and nonvaccinated (10)
    group 2: vaccinated (700) and nonvaccinated (100)

    I'm not worried about carrying out the test myself but I just want to know what sort of stat test would be appropriate for comparing coverage between groups.


    Would a t-test be sufficient?
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    pmub
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    Can you give us some more info about what your research question? If you're wanting to compare vaccinated vs non within each group then a t test will do. If you're wanting to put them all on one graph then an ANOVA is the way to go.
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    (Original post by Danny McCoyne)
    I have two groups and I'm comparing the vaccination in each group. All the data I have is
    group 1: vaccinated (230) and nonvaccinated (10)
    group 2: vaccinated (700) and nonvaccinated (100)

    I'm not worried about carrying out the test myself but I just want to know what sort of stat test would be appropriate for comparing coverage between groups.
    It would be good to understand the design of this study and your null hypothesis. But at first look you seem to be wanting to test for a difference of proportions between two groups.

    If this is so, then you should be using a test of proportions. This will give you a p-value equivalent to the p-value you get out of a \chi^2 test on the 2x2 table (but you won't get an estimate for the actual difference of proportions, or any confidence intervals for the proportions themselves, using a \chi^2 test).

    In the "R" language you can use the command prop.test, or in Stata, you have the prtest command.
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    (Original post by alleycat393)
    Can you give us some more info about what your research question? If you're wanting to compare vaccinated vs non within each group then a t test will do. If you're wanting to put them all on one graph then an ANOVA is the way to go.
    My research question is investigating whether there are any real differences between the coverage of a particular vaccine in two groups. The two groups are in two different geographical locations. And the two groups don't have the same sample size in fact group 2 as you can see is relatively larger than group 1. My hypothesis was that group 2 would have the better coverage because of vaccine education and socio economic reasons as well as their location.


    gregorious


    I did have a look at the z-test but some of it's pre-requisites don't fit in with the design of my study for example I don't know the size of the population the two groups came from or whether random sampling was used.
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    (Original post by Danny McCoyne)
    I did have a look at the z-test but some of it's pre-requisites don't fit in with the design of my study for example I don't know the size of the population the two groups came from or whether random sampling was used.
    If you don't know that random sampling was used then you can't make a statistical inference!
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    Hmm I'd personally just express the data in terms of % vaccinated rather than trying to do stats on them.
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    (Original post by Gregorius)
    If you don't know that random sampling was used then you can't make a statistical inference!
    (Original post by alleycat393)
    Hmm I'd personally just express the data in terms of % vaccinated rather than trying to do stats on them.
    Thank you both it turned out I was missing a large chunck of the data which I was able to acquire and I did a t-test.
 
 
 
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