Exercise

# Learning about a percentile

Suppose you want to learn about the 75th percentile of the sampling distribution defined by: $$Q75 = M + 0.674 S$$

Instructions

**100 XP**

- Examine the code that simulates 1000 values from the posterior distribution of
`(M, S)`

. - Use the
`coef()`

and`sigma.hat()`

functions to extract simulated vectors of`M`

and`S`

from`sim_fit`

. - Compute simulated posterior values of the 75th percentile and save the result as
`Q75`

. - Construct a histogram of the posterior of
`Q75`

. - Find a 70% probability interval for
`Q75`

.