Bootstrap algorithm is based on the idea that rather than repeatedly obtaining independent data sets from the population, we obtain distinct data sets by repeatedly sampling observations from the original data set. What else is true about bootstrap? Bootstrap cannot be used to test statistical hypotheses Bootstrap can be used to estimate confidence intervals of a statistics of interest Bootstrap can be used to quantify the uncertainty associated with a given estimator or statistical learning method Bootstrap can be used to quantify estimate standard errors of regression coefficients