Exercise

# Confidence intervals of rainfall data

A *confidence interval* gives upper and lower bounds on the range of parameter values you might expect to get if we repeat our measurements. For named distributions, you can compute them analytically or look them up, but one of the many beautiful properties of the bootstrap method is that you can take percentiles of your bootstrap replicates to get your confidence interval. Conveniently, you can use the `np.percentile()`

function.

Use the bootstrap replicates you just generated to compute the 95% confidence interval. That is, give the 2.5th and 97.5th percentile of your bootstrap replicates stored as `bs_replicates`

. What is the 95% confidence interval?

Instructions

**50 XP**

##### Possible Answers

- (765, 776) mm/year
- (780, 821) mm/year
- (761, 817) mm/year
- (761, 841) mm/year