As long as your sample represents an even cross-section of the population then it can be quite small, just about one order of magnitude larger than the result you’re reporting. For instance, if you’re reporting a percentage (i.e. a result out of 100) then you only need to poll about 1000 people, since cutting off one decimal place will be enough to account for any weird clustering in your sample. The total population being represented doesn’t matter; as long as your sample is truly chosen at random then all that matters is the sample size relative to the precision of the result.
The sample size was 1229 people for this “survey”. With something as polarizing as this subject is, I HIGHLY doubt that 1200 people accurately reflect the attitude of the ENTIRE country. but think what you want, free country and all.
As long as your sample represents an even cross-section of the population then it can be quite small, just about one order of magnitude larger than the result you’re reporting. For instance, if you’re reporting a percentage (i.e. a result out of 100) then you only need to poll about 1000 people, since cutting off one decimal place will be enough to account for any weird clustering in your sample. The total population being represented doesn’t matter; as long as your sample is truly chosen at random then all that matters is the sample size relative to the precision of the result.
The sample size was 1229 people for this “survey”. With something as polarizing as this subject is, I HIGHLY doubt that 1200 people accurately reflect the attitude of the ENTIRE country. but think what you want, free country and all.