Answer:
A sample of 139 should be taken.
Explanation:
We have that to find our
level, that is the subtraction of 1 by the confidence interval divided by 2. So:

Now, we have to find z in the Ztable as such z has a pvalue of
.
That is z with a pvalue of
, so Z = 1.96.
Now, find the margin of error M as such

In which
is the standard deviation of the population and n is the size of the sample.
Population standard deviation of $3,000.
This means that

How large a sample should be taken if the desired margin of error is $500?
A sample of n is needed.
n is found when M = 500. So



Dividing both sides by 500



Rounding up:
A sample of 139 should be taken.