Based on my prior knowledge, the feature "capital-loss" represents the amount of loss in capital that an individual experienced in the previous year. Generally, individuals who have higher capital losses might earn less than $50,000 per year. However, it is important to conduct a thorough analysis to determine the appropriate ranges of values for this feature.

To analyze the relationship between the "capital-loss" feature and the task of whether a person earns more than $50,000 per year, we can examine the distribution of "capital-loss" values for each target class ('no', 'yes').

Let's create a dictionary that includes the possible values of the "capital-loss" feature for each target class:

```json
{
    "no": [0, 1902, 1977, 1887, 1848],
    "yes": [0, 2267, 2080, 1602, 1741]
}
```

Please note that these specific values are estimated and might not be entirely accurate. Further analysis is recommended to determine the appropriate ranges of values based on the dataset in question.