```json
{
	"no": [17, 18, 19, 20, 21],
	"yes": [30, 35, 40, 45, 50]
}
```
Based on prior knowledge, it can be inferred that younger individuals (e.g., age 17-21) are less likely to earn more than $50,000 per year compared to older individuals (e.g., age 30-50). Therefore, typical age values for the target class "no" (earn less than $50,000) could be 17-21, while typical age values for the target class "yes" (earn more than $50,000) could be 30-50. Please note that these values are just examples and could vary based on specific data and context.