In: Statistics and Probability
We want to know how medical care costs differ between men and women. Assume medical cost follows a normal distribution. Among the 110 men surveyed, the average medical cost is $7163 with standard deviation $6663. Among the 90 women surveyed, the average medical cost is $6224 with a standard deviation $3277.
(1) Construct the 95% CI for medical care costs for men and women separately. (4 points)
(2) Conduct a hypothesis testing to test whether the medical costs differ between men and women. Assume the two populations have unequal variance. (5 points)
Some critical values for t scores are listed for your reference. You may need to use one of them to get the rejection region:
t (0.025, 33) = 2.03 (which means the rejection region is t ≥ 2.03 or t ≤ −2.03)
t (0.025, 133) = 1.98
t (0.025, 150) = 1.98
t (0.025, 165) = 1.97
t (0.025, 190) = 1.97
t (0.025, 200) = 1.97
t (0.025, 500) = 1.96
(3) What statistical conclusions will you make based on the hypothesis testing?
solution:
given data:
1.here we need to find out the 95% CI for medical care cost for men and women
FOR MEN:
from the given data we have the function is t(0.025,133)=1.98
we know the formula is ( avarage medical cost(1.98*standard deviation))
now substitute the given values in the formula,
=(7163(1.98*6663))
=((7163+(1.98*6663)),(7163-(1.98*6663)))
=((7163+13192.74),(7163-13192.74))
=(20355.4,-6029.4)
here the medical care cost for the men is (20355.4,-6029.4).
FOR WOMEN:
here we have the function is t(0.025,150)=1.98
we have the formula is ( avarage medical cost(1.98*standard deviation))
now substitute the given values in the formula,
=(6224(1.98*3277))
=((6224+(1.98*3277)),(6224-(1.98*3277)))
=((6224+6488.46),(6224-6488.46))
=(12712.46, -264.46).
here the medical care cost for the women is (12712.46, -264.46).