Question 1 17 pts A sample of 41 recent graduates from a spe
Solution
a)
Note that
Margin of Error E = z(alpha/2) * s / sqrt(n)
Lower Bound = X - z(alpha/2) * s / sqrt(n)
Upper Bound = X + z(alpha/2) * s / sqrt(n)
where
alpha/2 = (1 - confidence level)/2 = 0.05
X = sample mean = 43720
z(alpha/2) = critical z for the confidence interval = 1.644853627
s = sample standard deviation = 3853
n = sample size = 41
Thus,
Margin of Error E = 989.7701168
Lower bound = 42730.22988
Upper bound = 44709.77012
Thus, the confidence interval is
( 42730.22988 , 44709.77012 ) [ANSWER]
We are 90% confident that the true mean starting salary for graduates of a specific program is between 42730.22988 and 44709.77012. [ANSWER]
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b)
As
df = n - 1 = 40
alpha = (1 - confidence level)/2 = 0.05
Then the critical values for chi^2 are
chi^2(alpha/2) = 55.75847928
chi^2(alpha/2) = 26.5093032
Thus, as
lower bound = (n - 1) s^2 / chi^2(alpha/2) = 10649938.23
upper bound = (n - 1) s^2 / chi^2(1 - alpha/2) = 22400602.37
Thus, the confidence interval for the variance is
( 10649938.23 , 22400602.37 )
Also, for the standard deviation, getting the square root of the bounds,
( 3263.42431 , 4732.927463 ) [ANSWER]
We are 90% confident that the true standard deviation of the starting salary for graduates of a specific program is between 3263.42431 and 4732.927463. [ANSWER]
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c)
There is 90% probability that the true population parameter is inside our confidence interval.

