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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?

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