Questions about maximum sampling error in stratified sampling

Hi all,

I would like to ask about the maximum sampling error in stratified sampling

Suppose I have the following sample size and population in a survey:


Would like to enquire that:

Is the sampling error formula below appropriate, where n is sample size and N is population
Sampling Error = Z * √(p * (1 – p) / n] * [1 – √(n / N))
I found the formula from this link ->

Thanks ! :)


Less is more. Stay pure. Stay poor.
This is not my area, but if you go to the webpage they convincingly convey that yes this is the sampling error formula. However, in all of their examples they are applying this to a binary items. So if you didn't have a "p" and had a continuous variable like weight - what would you use?