In: Statistics and Probability
In a test of the effectiveness of garlic for lowering cholesterol, 49 subjects were treated with garlic in a processed tablet form. Cholesterol levels were measured before and after the treatment. The changes (beforeminusafter) in their levels of LDL cholesterol (in mg/dL) have a mean of 2.7 and a standard deviation of 16.8. Construct a 99% confidence interval estimate of the mean net change in LDL cholesterol after the garlic treatment. What does the confidence interval suggest about the effectiveness of garlic in reducing LDL cholesterol?
a) For a test of the effectiveness of garlic for lowering cholesterol, n = 49 subjects were treated with garlic in a processed tablet form. Cholesterol levels were measured before and after the treatment. The changes (before-after) in their levels of LDL cholesterol (in mg/dL) have a mean of M = 2.7 and a standard deviation of s = 16.8.
Thus the confidence interval is calculated as:
μ = M ± t(sM)
since population standard deviation is not given hence t-distribution is applicable.
where:
M = sample mean df = n-1
t = t statistic determined by the confidence
level and the degrees of freedom.
sM = standard error =
√(s2/n)
M = 2.7 df= 49-1 = 48
t = 2.01 calculated using excel formula which is
=T.INV.2T(0.05,48)
sM = √(16.82/49) = 2.4
μ = M ± t(sM)
μ = 2.7 ± 2.01*2.4
μ = 2.7 ± 4.826
Thus the confidence interval is computed as:
[-2.126, 7.526].
b) Based on the confidence interval we can see that it goes form -ve value to a positive value hence it is said that there is no significant effect of garlic for lowering cholesterol.