Based on prior knowledge, we can analyze the relationship between the feature "Recency" (months since last donation) and the task of whether the person donated blood or not.

Analysis:
- It is likely that individuals who donated blood more recently are more likely to donate again in the future. Therefore, the feature value for the target class 'yes' (person donated blood) is expected to have smaller values on average compared to the target class 'no' (person did not donate blood).
- It would be reasonable to assume that individuals who have not donated blood for a longer period of time are less likely to donate again. Hence, higher values of the feature are expected for the target class 'no'.

Based on the above analysis, let's create a dictionary with typical values for each target class:

```json
{
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0],
	"no": [20.0, 21.0, 22.0, 23.0, 24.0]
}
```

Note: These values are just examples and can vary depending on the specific dataset being analyzed.