# Question 10.9 from Bayesian Data Analysis, what does accuracy mean here?

I'm doing an independent study in Bayesian Statistics following some chapters from BDA3. When solving the first question from Ch 10 I got stuck. It says:

[If] a scalar variable $\theta$ is approximately normally distributed in a posterior distribution that is summarized by n independent simulation draws [,] how large does n have to be so that the 2.5% and 97.5% quantiles of $\theta$ are specified to an accuracy of $0.1\ {\rm sd}(\theta|y)$?

Just by following the formula for a numerical example in the same chapter I get $n=100$, but I do not understand actually what they mean by accuracy in this context.

Any pointers?