Answer: To estimate how much a typical patient's systolic blood pressure will lower after taking the drug with an 80% confidence level, we can use a confidence interval.
Given data:
Sample size (n) = 504
Sample mean (x) = 43.1 mmHg (reduction in systolic blood pressure)
Sample standard deviation (s) = 13.9 mmHg
The formula for the confidence interval for a population mean with an 80% confidence level is given by:
Confidence Interval = x + Z * (s / √n)
where Z is the critical value corresponding to the confidence level. For an 80% confidence level, the critical value Z is approximately 1.282 (you can find this value from a standard normal distribution table).
Now, let's calculate the confidence interval:
Confidence Interval = 43.1 + 1.282 * (13.9 / √504)
Confidence Interval ≈ 43.1 + 1.282 * (0.619)
Confidence Interval ≈ 43.1 + 0.794
Lower bound of the confidence interval ≈ 43.1 - 0.794 ≈ 42.306 mmHg
Upper bound of the confidence interval ≈ 43.1 + 0.794 ≈ 43.894 mmHg
So, with an 80% confidence level, we can estimate that a typical patient's systolic blood pressure will lower by approximately 42.306 to 43.894 mmHg after taking the drug.
Now, let's answer the preliminary questions:
a. Is it safe to assume that n ≤ 5% of all patients with a systolic blood pressure?
We don't have enough information to determine this based on the given data.
b. Is n ≥ 30?
Yes, n = 504, which is greater than 30.