In general, how does the total sample size for stratified random sampling compare with sample size for simple random sampling?
The variable involved is binary: yes-no. The population parameter to estimate is the proportion of Yes. (For example, say there are 800 cases in 25 cities. I could form 25 strata or group the cities into 5 geographic areas to form 5 strata. (The parameter of interest is the proportion of Yes, nationwide.)
I am thinking of using strata to avoid my random sample from being strange or lopsided.