Assume you have \(N\) random variables \(X_1, \ldots, X_N \sim_{iid} \text{Normal}(\mu, \sigma^2)\).

True or false: is, or at least should we, think about \(\frac{1}{N}\sum_{n = 1}^N X_n\) as a random variable?

Assume you have bootstraped your original dataset above, to get re-sampled estimates of the population mean, and you now have an array of bootstrapped sample means

`mus`

of length \(R\).What does the Python code

`mus.std()`

estimate? For full credit use our latest statistics words.What does the Python code

`bp.density(mus)`

estimate? For full credit use our latest statistics words.