Respuesta :
Answer:
See explanation below
Step-by-step explanation:
a)
Effectively,
[tex]\bf \bar x=35.9952\approx 36[/tex]
s = 10.2376 ≅ 10.24
b)
Since the sample size is 42, we must find a values c,d such that the area inside the interval [v, w] of the Normal curve with mean 36 and standard deviation [tex]10.24/\sqrt{42}=1.58[/tex] is 75% of 1 = 0.75
(See picture 1 attached)
We can easily work out that value with the help of a spreadsheet and we find
[v,w] = [34.182, 37.818]
c)
Less than 30 thousand dollars per employee means they are among the 25/2 = 12.5% of worst paid employees. So, this could be considered low.
d)
If the annual profits are more than 40 thousand dollars they are among the 12.5% best paid, so they much better off.
e)
If we want now a 90% confidence interval, we repeat the above steps, but now the area inside the interval [v, w] must be 90% or 0.9
Again with the help of the computer
[v, w] = [33.401, 38.599] (See picture 2)
If the employees earn less than 30,000 they are among the worst paid 5% of the interval and if they won more than 40,000 they would be among the highest 5% of the interval

