Based on prior knowledge, we can analyze the relationship between the feature 'balance' and the target variable 'subscription to a term deposit'. Typically, customers with higher balances may be more likely to subscribe to a term deposit compared to those with lower balances.

Given this understanding, we can create a dictionary that includes 5 typical balance values for each target class 'no' and 'yes':

```json
{
	"no": [1000.0, 2000.0, 1500.0, 500.0, 800.0],
	"yes": [5000.0, 4000.0, 6000.0, 7000.0, 5500.0]
}
```

These values are just examples and could vary depending on the dataset and specific context.