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Answer :
The 90% confidence interval estimate for the mean wake time for a population with the treatment is (92.8 min, 105.4 min).
To construct the 90% confidence interval for the mean wake time, we can use the formula:
Confidence Interval = sample mean ± (critical value * standard error)
Before treatment:
Sample size (n) = 25
Sample mean (x) = 104.0 min
After treatment:
Sample mean (x) = 99.1 min
Standard deviation (σ) = 23.3 min
Step 1: Calculate the standard error
Standard error (SE) = σ / √n
SE = 23.3 / √25 = 4.66 min
Step 2: Determine the critical value
Since we want a 90% confidence interval, the corresponding critical value can be found from the t-distribution table. For a sample size of 25 and a confidence level of 90%, the critical value is approximately 1.711.
Step 3: Calculate the confidence interval
Lower limit = x - (critical value * SE)
Lower limit = 99.1 - (1.711 * 4.66) = 92.8 min
Upper limit = x + (critical value * SE)
Upper limit = 99.1 + (1.711 * 4.66) = 105.4 min
Therefore, the 90% confidence interval estimate for the mean wake time is 92.8 min, 105.4 min.
The result suggests that the mean wake time before the treatment (104.0 min) falls within the constructed confidence interval. This means that the drug appears to be effective in reducing the mean wake time compared to before the treatment. However, further analysis and interpretation should consider factors such as sample size, clinical significance, and potential confounding variables.
Learn more about confidence intervals from the given link:
https://brainly.com/question/34299305
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