A clinical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjocts. Before treatment, 20 subjects had a mean wake time of 101.0 min. After treatment, the 20 suby mean wake tme of 78.7min and a standard deviation of 23.2min. Assume that the 20 sample values appear to be from a normally distributed population and construct a 90% confidence interval es mean wake time for a population with drug treatrents. What does the result suggest about the mean wake time of 101.0 min before the treatment? Does the drug appear to be eflective?Construct the 90% confidence interval estimate of the mean wake time for a population with the treatment. \square \min <\mu<\square \min (Round to one docimal place as needed.)
Q. A clinical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjocts. Before treatment, 20 subjects had a mean wake time of 101.0 min. After treatment, the 20 suby mean wake tme of 78.7min and a standard deviation of 23.2min. Assume that the 20 sample values appear to be from a normally distributed population and construct a 90% confidence interval es mean wake time for a population with drug treatrents. What does the result suggest about the mean wake time of 101.0 min before the treatment? Does the drug appear to be eflective?Construct the 90% confidence interval estimate of the mean wake time for a population with the treatment.□min<μ<□min(Round to one docimal place as needed.)
Identify Parameters: Identify the sample mean (xˉ), the sample standard deviation (s), and the sample size (n).Sample mean (xˉ) after treatment = 78.7 minSample standard deviation (s) = 23.2 minSample size (n) = 20
Determine Confidence Level: Determine the appropriate z-score for the 90% confidence level. Since the sample size is small n < 30 and the population standard deviation is unknown, we should use the t-distribution. However, for a 90% confidence interval and a sample size of 20, the t-score is very close to the z-score. For simplicity, we will use the z-score for a 90% confidence interval, which is approximately 1.645. Note that for more accurate results, especially with small sample sizes, the t-score should be used.Z-score for 90% confidence = 1.645
Calculate SEM: Calculate the standard error of the mean (SEM), which is the standard deviation of the sampling distribution of the sample mean.SEM=nsSEM=2023.2SEM≈4.47223.2SEM≈5.188
Calculate Margin of Error: Calculate the margin of error (ME) using the z-score and the standard error of the mean. ME=z×SEMME=1.645×5.188ME≈8.534
Construct Confidence Interval: Construct the confidence interval by subtracting and adding the margin of error from the sample mean.Lower limit = xˉ−MELower limit = 78.7−8.534Lower limit ≈70.2 (rounded to one decimal place)Upper limit = xˉ+MEUpper limit = 78.7+8.534Upper limit ≈87.2 (rounded to one decimal place)
Interpret Results: Interpret the confidence interval and compare it to the mean wake time before the treatment. The 90% confidence interval for the mean wake time after treatment with the drug is between 70.2min and 87.2min. Since the interval does not include the mean wake time before treatment (101.0min), this suggests that the drug treatment has effectively reduced the mean wake time, indicating that the drug appears to be effective for treating insomnia.
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