After this, we can simulate $210$ hand choices, as Emily evaluated in real life, and find a single statistic to summarize this instance of the

simulation. Use the sample$\_$proportions function and assign the proportion of correct hand choices $($out of $210)$ to

simulation$\_$proportion$\_$correct. Lastly, use your statistic function to assign one$\_$statistic to the value of the statistic for this one

simulation.

Hint: sample$\_$proportions usage can be found on the Python Reference.

$[8]$ # This saves the random state of our code so that we can

# generate the same numbers each time we run the code.

# Please do not change this line.

np$.$random.seed $(16)$

model$\_$proportions $=$ make$\_$array $(\mathrm{.}5,\mathrm{.}5)$

simulation$\_$proportion$\_$correct $=$ sample$\_$proportions $,$ model$\_$proportions