Random sampling — mean & std deviation: Monte carlo & bootstrapping in Python.
Bootstrapping — is random sampling to estimate the standard deviation, or 95th confidence interval (or some other interval). Monte Carlo — is estimating the probability of an event. If one wants to get the mean of randomly sampling, I don’t think that is either monte carlo OR bootstrapping? ## Here is the code to get the mean and std of n random cores from 100 core samples. sample_number = 3 # choose n random samples from the group