Final answer:
With 98% confidence, the drug is estimated to lower a typical patient's systolic blood pressure by between 61.4 and 63.4 mm Hg.
Step-by-step explanation:
To estimate how much the drug will lower a typical patient's systolic blood pressure at a 98% confidence level, we can use the formula for the confidence interval for the mean μ of the normally distributed data. The formula is given by μ = μ ± Z*(σ/√n), where μ is the sample mean, Z* is the Z-value corresponding to the confidence level, σ is the standard deviation, and n is the sample size.
Here, the sample mean (μ) is 62.4, the standard deviation (σ) is 14.5, and the sample size (n) is 1088. To find the Z-value for a 98% confidence interval, we refer to the Z-table for the value corresponding to 99% (since 98% confidence means 1% is on each side of the distribution) which gives us approximately 2.33.
Now, calculate the margin of error (E):
E = Z*(σ/√n) = 2.33 * (14.5/√1088) ≈ 1.03.
Constructing the confidence interval gives us:
61.4 < μ < 63.4
Therefore, with 98% confidence, we can say that the drug will lower a typical patient's systolic blood pressure by between 61.4 and 63.4 millimeters of mercury (mm Hg).