```json
{
	"yes": [15.0, 20.0, 18.0, 22.0, 30.0],
	"no": [5.0, 8.0, 10.0, 12.0, 7.0]
}
```

Based on prior knowledge, for individuals without diabetes (target class no), the range of values for the feature Insulin is likely to be lower compared to individuals with diabetes (target class yes). In this case, we can assume that low Insulin values indicate a lower likelihood of having diabetes, while high Insulin values indicate a higher likelihood. 

The dictionary provided above includes 5 typical Insulin values for each target class. For the "yes" class (indicating a person with diabetes), we have selected values such as 15.0, 20.0, 18.0, 22.0, and 30.0 as examples. For the "no" class (indicating a person without diabetes), we have selected values such as 5.0, 8.0, 10.0, 12.0, and 7.0 as examples. These values represent a range of potential Insulin levels for each target class.