3. General Steps to Bootstrap 

Bootstrapping uses the observed data to simulate resampling from the population. This produces a large number of bootstrap resamples. We can calculate a statistic for each bootstrap resample and use the distribution of the simulated statistics to approximate characteristics of the population. This bootstrapping process can help us construct a confidence interval for a population parameter, even when the population distribution is unknown. This video explains the general steps of bootstrapping.