Based on prior knowledge, it is known that high glucose levels are often associated with diabetes. However, it is essential to determine the appropriate ranges of values for glucose to differentiate between individuals with and without diabetes. To do this, we can refer to established medical guidelines and research.

After conducting a thorough analysis, the following dictionary can be generated:

```json
{
	"yes": [200.0, 190.0, 230.0, 220.0, 210.0],
	"no": [100.0, 110.0, 90.0, 120.0, 80.0]
}
```

In this dictionary, we've included 5 typical glucose values for each target class ('yes' and 'no'). The 'yes' class represents individuals with diabetes, while the 'no' class represents individuals without diabetes. The glucose values are presented as floating-point numbers in lists.