Answer:

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Step-by-step explanation:
At a 90% confidence level, the z critical value is roughly z = 1.645. Use a reference table or a calculator to determine this. Despite not knowing what sigma is, we can use a z interval here because n > 30. If the sample size n was smaller than 30, then we'd have to use a T distribution instead.
We'll plug that z value, along with the other given values, into the formula for the lower boundary L of the confidence interval.

This value is approximate.
Do the same for the upper boundary as well

This value is also approximate.
We have 90% confidence that the population mean
(greek letter mu) is somewhere between L = 37.5 and U = 44.5
Therefore, we would write the 90% confidence interval as

This is the same as writing the confidence interval in the form
. Both forms are two different ways to say the same thing. The first form being
while the second form is
.
Side note: The value 3.545 calculated earlier is the approximate margin of error.