Based on my prior knowledge, I can analyze the relationship between the "credit_amount" feature and the task of determining whether a person receives credit or not. Generally, higher credit amounts are more likely to be associated with individuals who receive credit. 

Based on this analysis, I will create a dictionary with 5 typical credit_amount values for each target class of 'yes' and 'no':

```json
{
	"yes": [5000.0, 10000.0, 15000.0, 20000.0, 25000.0],
	"no": [1000.0, 2000.0, 3000.0, 4000.0, 5000.0]
}
```