Based on prior knowledge, the feature "capital-loss" represents the capital loss of an individual in the previous year. Generally, individuals with higher capital losses are more likely to earn less than $50,000 per year. 

To analyze the relationship between the feature "capital-loss" and the task of whether the person earns more than $50,000 per year, we can consider the following:

1. Individuals with no capital loss are more likely to earn more than $50,000 per year. Therefore, in the "yes" target class, we can expect to see values of "capital-loss" closer to zero.
2. As the capital loss increases, the probability of earning more than $50,000 per year decreases. Hence, in the "no" target class, we can expect to see a wider range of values for "capital-loss."

Based on this analysis, the dictionary can be constructed as follows:

```json
{
	"no": [2042, 1902, 2258, 625, 2080],
	"yes": [0, 152, 1876, 1741, 2179]
}
```

This dictionary represents 5 typical values of "capital-loss" for each target class, where the values are given as integers.