Exercise

# Bootstrapping a confidence interval

A useful tool for assessing the variability of some data is the bootstrap. In this exercise, you'll write your own bootstrapping function that can be used to return a bootstrapped confidence interval.

This function takes three parameters: a 2-D array of numbers (`data`

), a list of percentiles to calculate (`percentiles`

), and the number of boostrap iterations to use (`n_boots`

). It uses the `resample`

function to generate a bootstrap sample, and then repeats this many times to calculate the confidence interval.

Instructions

**100 XP**

- The function should loop over the number of bootstraps (given by the parameter
`n_boots`

) and:- Take a random sample of the data, with replacement, and calculate the mean of this random sample
- Compute the percentiles of
`bootstrap_means`

and return it