I've been assigned this question as "homework":
Run a simulation study to examine the performance of the bootstrap for obtaining 95% confidence intervals on the mean of a univariate sample of data.
You should look at confidence interval coverage (what proportion of times does the confidence interval contain the true mean?) and Monte Carlo variation (by how much do the upper and lower confidence limits vary between simulations?).
You may choose which bootstrap methods to evaluate.
The confusing thing is that we've been given no data to use in our simulations. How would I interpret the assignment given this fact?