Based on prior knowledge, we can assume that a shorter duration between the last donation and the current time might indicate a higher likelihood of the person donating blood again. Therefore, we can infer that a shorter Recency value is associated with a higher probability of donating blood (target class 'yes').

Based on this analysis, here's the dictionary with the specific details:

```json
{
	"yes": [0.5, 1.0, 2.0, 3.0, 5.0], 
    "no": [10.0, 15.0, 25.0, 35.0, 40.0]
}
```

In this case, values like 0.5, 1.0, 2.0, 3.0, and 5.0 are considered typical Recency values for the target class 'yes', indicating a higher probability of donating blood. On the other hand, values like 10.0, 15.0, 25.0, 35.0, and 40.0 are considered typical Recency values for the target class 'no', indicating a lower probability of donating blood.