A clinical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjects. Before treatment, 25 subjects had a mean wake time of 105.0 min. After treatment, the 25 subjects had a mean wake timne of 100.3 min and a standard deviation of 21.7 min. Assume that the 25 sample values appear to be from a normally distributed population and construct a 90% confidence interval estimate of the mean wake time for a population with drug treatments. What does the result suggest about the mean wake time of 105.0 min before the treatment? Does the drug appear to be effective? Construct the 90% confidence interval estimate of the mean wake time for a population with the treatment. min

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**Clinical Trial Analysis on Drug Effectiveness for Treating Insomnia in Older Subjects**

**Overview:**
A clinical trial was conducted to evaluate the effectiveness of a drug designed to treat insomnia in older subjects. Here's a summary and analysis of the trial results:

**Trial Details:**
- **Before Treatment:**
  - Number of subjects: 25
  - Mean wake time: 105.0 minutes

- **After Treatment:**
  - Number of subjects: 25
  - Mean wake time: 100.3 minutes
  - Standard deviation: 21.7 minutes

**Objective:**
To determine if the mean wake time after treatment significantly differs from the mean wake time before treatment by constructing a 90% confidence interval estimate.

**Analysis:**
- **Assumption:**
  - The 25 sample values are assumed to be from a normally distributed population.

**Steps for Constructing the 90% Confidence Interval:**
1. **Identify sample mean ( \(\bar{x} \) ) and standard deviation (s):**
   - Sample mean after treatment ( \(\bar{x} \) ): 100.3 minutes
   - Standard deviation (s): 21.7 minutes

2. **Calculate the standard error of the mean (SEM):**
   \[
   SEM = \frac{s}{\sqrt{n}} = \frac{21.7}{\sqrt{25}} = \frac{21.7}{5} = 4.34
   \]

3. **Determine the critical value (Z*) for a 90% confidence interval (from Z-tables):**
   - For 90% confidence, Z* ≈ 1.645

4. **Calculate the margin of error (ME):**
   \[
   ME = Z* \times SEM = 1.645 \times 4.34 = 7.14
   \]

5. **Construct the confidence interval:**
   \[
   CI = \bar{x} \pm ME = 100.3 \pm 7.14
   \]
   - Lower bound: 100.3 - 7.14 = 93.2
   - Upper bound: 100.3 + 7.14 = 107.4

**Conclusion:**
- **90% Confidence Interval for the Mean Wake Time post-treatment:**
  \[
  93.2 \text
Transcribed Image Text:**Clinical Trial Analysis on Drug Effectiveness for Treating Insomnia in Older Subjects** **Overview:** A clinical trial was conducted to evaluate the effectiveness of a drug designed to treat insomnia in older subjects. Here's a summary and analysis of the trial results: **Trial Details:** - **Before Treatment:** - Number of subjects: 25 - Mean wake time: 105.0 minutes - **After Treatment:** - Number of subjects: 25 - Mean wake time: 100.3 minutes - Standard deviation: 21.7 minutes **Objective:** To determine if the mean wake time after treatment significantly differs from the mean wake time before treatment by constructing a 90% confidence interval estimate. **Analysis:** - **Assumption:** - The 25 sample values are assumed to be from a normally distributed population. **Steps for Constructing the 90% Confidence Interval:** 1. **Identify sample mean ( \(\bar{x} \) ) and standard deviation (s):** - Sample mean after treatment ( \(\bar{x} \) ): 100.3 minutes - Standard deviation (s): 21.7 minutes 2. **Calculate the standard error of the mean (SEM):** \[ SEM = \frac{s}{\sqrt{n}} = \frac{21.7}{\sqrt{25}} = \frac{21.7}{5} = 4.34 \] 3. **Determine the critical value (Z*) for a 90% confidence interval (from Z-tables):** - For 90% confidence, Z* ≈ 1.645 4. **Calculate the margin of error (ME):** \[ ME = Z* \times SEM = 1.645 \times 4.34 = 7.14 \] 5. **Construct the confidence interval:** \[ CI = \bar{x} \pm ME = 100.3 \pm 7.14 \] - Lower bound: 100.3 - 7.14 = 93.2 - Upper bound: 100.3 + 7.14 = 107.4 **Conclusion:** - **90% Confidence Interval for the Mean Wake Time post-treatment:** \[ 93.2 \text
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