Answer:
To calculate the cumulative percent value corresponding to the upper real limit, we first need to create a frequency distribution and a histogram for the given set of scores. Then, we'll determine the cumulative percent value for the upper real limit.
Here's how the frequency table and histogram look for the provided data:
| Score Range | Frequency | Relative Frequency | Cumulative Frequency | Cumulative Percent |
|-------------|-----------|-------------------|---------------------|-------------------|
| 6 - 7 | 1 | 0.06 | 1 | 6.3% |
| 8 - 9 | 5 | 0.31 | 6 | 37.5% |
| 10 - 11 | 5 | 0.31 | 11 | 68.8% |
| 12 - 13 | 2 | 0.13 | 13 | 81.3% |
| 14 - 15 | 1 | 0.06 | 14 | 87.5% |
| 16 - 17 | 1 | 0.06 | 15 | 93.8% |
From the cumulative percent column, you can see that the cumulative percent value corresponding to the upper real limit of 17 is indeed 93.8%.
Explanation: