Randomly choosing these customers helps reduce bias and is great for getting general results. Stratified sampling breaks a population into different subgroups (strata) based on specific ...

A recent study published in the Journal of Geo-information Science introduces a stratified sampling method based on remote sensing complexity for interpretation. Led by researchers Lianfa Li and ...

As part of our #TakeASample Science Club, Science Friday asked its Twitter audience a few simple survey questions, and they answered by the thousands. But do the data mean anything?

New Delhi's air pollution is more severe than previously estimated, with particles absorbing atmospheric water vapor, leading ...

With systematic sampling you can then select the points to monitor but this can introduce bias. Random sampling eliminates bias by generating the points randomly. Now you need sampling tools.

New Delhi's air pollution is more severe than previously estimated with particles absorbing atmospheric water vapour leading to particulate matter levels across the city being underestimated by up to ...