Hello all,
I am conducting a retrospective cohort analysis and will need to compare the demographic data between the cohorts to check if they are the same or if any categories significantly differ. For age I plan to use the mean of each group and utilize a t-test (or z-test).
In order to assess whether the groups (call them HEMS and GEMS) have significantly different amounts of males vs females what's the best way to go? Is there a simple way to compare the two groups, with a null hypothesis that they are the same? Can I use a 2x2 table with HEMS and GEMS on the top and Male/Female on the side? I'm not sure how that gets me my expected value (i.e. one would expect M/F to be 0.5). Or can I simply compare HEMS with an 'expected' of the GEMS numbers to see if they differ enough to reject that they are the same?
Sorry if this is a bit obtuse, I'm stretching in statistics...
I am conducting a retrospective cohort analysis and will need to compare the demographic data between the cohorts to check if they are the same or if any categories significantly differ. For age I plan to use the mean of each group and utilize a t-test (or z-test).
In order to assess whether the groups (call them HEMS and GEMS) have significantly different amounts of males vs females what's the best way to go? Is there a simple way to compare the two groups, with a null hypothesis that they are the same? Can I use a 2x2 table with HEMS and GEMS on the top and Male/Female on the side? I'm not sure how that gets me my expected value (i.e. one would expect M/F to be 0.5). Or can I simply compare HEMS with an 'expected' of the GEMS numbers to see if they differ enough to reject that they are the same?
Sorry if this is a bit obtuse, I'm stretching in statistics...
