To construct a 98% confidence interval for the difference in water loss before and after skin removal (d), we first need to calculate the differences for each subject, find the mean and standard deviation of these differences, and then use these values to compute the confidence interval.
Step 1: Calculate the differences (d)
We'll compute \( d \) for each subject as follows: \[ d = \text{water loss after} - \text{water loss before} \]
| Subject | Before (g/m²/h) | After (g/m²/h) | Difference (d) | |---------|-----------------|----------------|-----------------| | 1 | 13 | 20 | 20 - 13 = 7 | | 2 | 13 | 19 | 19 - 13 = 6 | | 3 | 14 | 28 | 28 - 14 = 14 | | 4 | 11 | 27 | 27 - 11 = 16 | | 5 | 15 | 25 | 25 - 15 = 10 | | 6 | 17 | 26 | 26 - 17 = 9 | | 7 | 17 | 25 | 25 - 17 = 8 | | 8 | 18 | 23 | 23 - 18 = 5 | | 9 | 17 | 21 | 21 - 17 = 4 | | 10 | 14 | 20 | 20 - 14 = 6 |
Now let's present the differences: \[ d = [7, 6, 14, 16, 10, 9, 8, 5, 4, 6] \]
Step 2: Calculate the mean and standard deviation of the differences
Mean of d
\[ \bar{d} = \frac{\sum d}{n} \] where \( n \) is the number of subjects: \[ \sum d = 7 + 6 + 14 + 16 + 10 + 9 + 8 + 5 + 4 + 6 = 85 \] \[ n = 10 \] \[ \bar{d} = \frac{85}{10} = 8.5 \]
Standard deviation of d
First, we compute the squared differences from the mean: \[ \text{Variance} = s^2 = \frac{\sum (d_i - \bar{d})^2}{n-1} \] Calculating each squared difference:
- For 7: \( (7 - 8.5)^2 = 2.25 \)
- For 6: \( (6 - 8.5)^2 = 6.25 \)
- For 14: \( (14 - 8.5)^2 = 30.25 \)
- For 16: \( (16 - 8.5)^2 = 56.25 \)
- For 10: \( (10 - 8.5)^2 = 2.25 \)
- For 9: \( (9 - 8.5)^2 = 0.25 \)
- For 8: \( (8 - 8.5)^2 = 0.25 \)
- For 5: \( (5 - 8.5)^2 = 12.25 \)
- For 4: \( (4 - 8.5)^2 = 20.25 \)
- For 6: \( (6 - 8.5)^2 = 6.25 \)
Summing these values: \[ \sum (d_i - \bar{d})^2 = 2.25 + 6.25 + 30.25 + 56.25 + 2.25 + 0.25 + 0.25 + 12.25 + 20.25 + 6.25 = 142.5 \] Thus, the variance is: \[ s^2 = \frac{142.5}{10 - 1} = \frac{142.5}{9} \approx 15.8333 \] Standard deviation: \[ s \approx \sqrt{15.8333} \approx 3.98 \]
Step 3: Construct the confidence interval
To find the 98% confidence interval, we will use the t-distribution since the sample size is small. The degrees of freedom \( df = n - 1 = 9 \).
Looking up the t-value for \( df = 9 \) at a 98% confidence level, we find \( t_{0.01, 9} \approx 2.821 \).
The margin of error (ME) is given by: \[ \text{ME} = t \times \frac{s}{\sqrt{n}} = 2.821 \times \frac{3.98}{\sqrt{10}} \approx 2.821 \times 1.258 \approx 3.55 \]
Now we can calculate the confidence interval: \[ \bar{d} - \text{ME} \quad \text{to} \quad \bar{d} + \text{ME} \] \[ 8.5 - 3.55 \quad \text{to} \quad 8.5 + 3.55 \] \[ 4.95 \quad \text{to} \quad 12.05 \]
Therefore, the 98% confidence interval for the difference in water loss is approximately: \[ \boxed{(5.0, 12.1)} \] (rounded to one decimal place).