We therefore get an idea of how our estimate varies through this process of resampling with replacement. This is known as bootstrapping the data – the magical idea of pulling oneself up by one’s own bootstraps is reflected in this ability to learn about the variability in an estimate without having to make any assumptions about the shape of the population distribution.
