Step 1 :Given that the sample size (n) is 19, the mean wake time after treatment (mean_after) is 79.1 minutes, and the standard deviation (std_dev) is 20.5 minutes.
Step 2 :We are asked to construct a 90% confidence interval for the mean wake time after treatment. The z-score for a 90% confidence level is approximately 1.645.
Step 3 :The formula for a confidence interval is \(\bar{x} \pm z \frac{s}{\sqrt{n}}\), where \(\bar{x}\) is the sample mean, z is the z-score corresponding to the desired confidence level, s is the sample standard deviation, and n is the sample size.
Step 4 :Substituting the given values into the formula, we get \(79.1 \pm 1.645 \frac{20.5}{\sqrt{19}}\).
Step 5 :Calculating the margin of error gives approximately 7.7364720854500195 minutes.
Step 6 :Subtracting and adding this margin of error from the mean wake time after treatment gives the confidence interval (71.36352791454998, 86.83647208545001).
Step 7 :Rounding to one decimal place, the confidence interval is approximately (71.4 min, 86.8 min).
Step 8 :Since this interval does not include the mean wake time before treatment (101.0 min), this suggests that the drug is effective in reducing wake time.
Step 9 :\(\boxed{\text{The 90% confidence interval estimate of the mean wake time for a population with the treatment is 71.4 min < \mu < 86.8 min. This result suggests that the drug treatment has an effect in reducing the mean wake time from 101.0 min before the treatment. Therefore, the drug appears to be effective.}}\)