
Allison G. answered 04/16/20
Online Private Tutor - Math, Statistics
Just to be completely clear, I will use the following notation as shorthand:
n = number of observations in the experiment
xbar = sample mean
sd = standard deviation of the sample mean
t = critical value
mu = mean net change in LDL (a.k.a., what we are finding a confidence interval for)
To find a confidence interval, we want to find an upper bound and lower bound for mu. To estimate this, we can use the formula:
lower bound = xbar - t * sd / sqrt(n)
upper bound = xbar + t * sd / sqrt(n)
t represents the area underneath the curve of Student's T-Distribution from 0 to the 0.05 quantile (we use 0.05 because this is a two-tailed test, and 0.10 / 2 = 0.05). We find this value using t-tables and knowing that our degrees of freedom = n - 1 = 41.
Now, we know:
t = 1.6829 (found with t-tables)
n = 42
xbar = 4.8
sd = 15.6
We want to construct a 90% confidence interval estimate of the mean net change in LDL after treatment. So, we calculate our lower and upper bounds to get:
lower = 4.8 - 1.6829 * 15.6 / sqrt(42) = 0.749037
upper = 4.8 + 1.6829 * 15.6 / sqrt(42) = 8.85096
Therefore, our 90% confidence interval is (0.749037, 8.85096).
Interpretation: We may conclude with 90% confidence that the mean net change in LDL cholesterol after the garlic treatment ranges from (0.749037, 8.85096). We see that this interval does not include 0. Thus, we may further conclude with 90% confidence that the garlic treatment is effective in reducing LDL cholesterol.
One small clarification: given the question, it is unclear to me whether this mean change of 4.8 mg/dL is referred to as an increase or decrease. Based on the context, I have interpreted this question by assuming that the mean change of 4.8 mg/dL is a decrease.