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Answer :
To solve this problem, we need to construct a 90% confidence interval for the mean wake time after treatment. Here’s a step-by-step explanation:
### Step 1: Identify the Given Information
- Sample Size ([tex]\( n \)[/tex]): 19 subjects
- Sample Mean after Treatment ([tex]\( \bar{x} \)[/tex]): 100.2 minutes
- Sample Standard Deviation ([tex]\( s \)[/tex]): 20.3 minutes
- Confidence Level: 90%
### Step 2: Calculate the T-Score
Since the sample size is small ([tex]\( n = 19 \)[/tex]), we use the t-distribution to calculate the confidence interval. We need the t-score for a 90% confidence level with [tex]\( n-1 = 18 \)[/tex] degrees of freedom.
### Step 3: Calculate the Standard Error
The standard error (SE) of the mean is calculated using the formula:
[tex]\[
SE = \frac{s}{\sqrt{n}} = \frac{20.3}{\sqrt{19}}
\][/tex]
### Step 4: Calculate the Margin of Error
The margin of error (ME) is given by:
[tex]\[
ME = t \times SE
\][/tex]
Where [tex]\( t \)[/tex] is the t-score calculated earlier.
### Step 5: Construct the Confidence Interval
The confidence interval for the population mean is then:
[tex]\[
\bar{x} \pm ME
\][/tex]
This gives us the lower and upper bounds of the confidence interval:
- Lower Bound: 100.2 - ME
- Upper Bound: 100.2 + ME
### Result
After performing these calculations, the 90% confidence interval is approximately:
- Lower Bound: 92.1 minutes
- Upper Bound: 108.3 minutes
### Interpretation
This confidence interval suggests that with 90% confidence, the true mean wake time after treatment is between 92.1 minutes and 108.3 minutes. Comparing this interval to the mean wake time of 104.0 minutes before treatment:
- Since the entire interval includes 104.0 minutes, it's possible the mean wake time has not significantly changed.
- Therefore, this result does not provide strong evidence that the drug is effective in reducing wake times, as 104.0 minutes falls within the range of the confidence interval.
### Step 1: Identify the Given Information
- Sample Size ([tex]\( n \)[/tex]): 19 subjects
- Sample Mean after Treatment ([tex]\( \bar{x} \)[/tex]): 100.2 minutes
- Sample Standard Deviation ([tex]\( s \)[/tex]): 20.3 minutes
- Confidence Level: 90%
### Step 2: Calculate the T-Score
Since the sample size is small ([tex]\( n = 19 \)[/tex]), we use the t-distribution to calculate the confidence interval. We need the t-score for a 90% confidence level with [tex]\( n-1 = 18 \)[/tex] degrees of freedom.
### Step 3: Calculate the Standard Error
The standard error (SE) of the mean is calculated using the formula:
[tex]\[
SE = \frac{s}{\sqrt{n}} = \frac{20.3}{\sqrt{19}}
\][/tex]
### Step 4: Calculate the Margin of Error
The margin of error (ME) is given by:
[tex]\[
ME = t \times SE
\][/tex]
Where [tex]\( t \)[/tex] is the t-score calculated earlier.
### Step 5: Construct the Confidence Interval
The confidence interval for the population mean is then:
[tex]\[
\bar{x} \pm ME
\][/tex]
This gives us the lower and upper bounds of the confidence interval:
- Lower Bound: 100.2 - ME
- Upper Bound: 100.2 + ME
### Result
After performing these calculations, the 90% confidence interval is approximately:
- Lower Bound: 92.1 minutes
- Upper Bound: 108.3 minutes
### Interpretation
This confidence interval suggests that with 90% confidence, the true mean wake time after treatment is between 92.1 minutes and 108.3 minutes. Comparing this interval to the mean wake time of 104.0 minutes before treatment:
- Since the entire interval includes 104.0 minutes, it's possible the mean wake time has not significantly changed.
- Therefore, this result does not provide strong evidence that the drug is effective in reducing wake times, as 104.0 minutes falls within the range of the confidence interval.
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