Based on prior knowledge, we can hypothesize that the recency of donation might be an important factor in determining whether a person donates blood or not. Generally, individuals who have more recently donated blood may be less likely to donate again in the near future.

To analyze the relationship between the feature "Recency" and the task "Did the person donate blood?" (Yes or No), we need to examine the distribution of recency values for each target class.

Here is the dictionary with the required information:

```json
{
	"yes": [2.0, 4.0, 1.0, 3.0, 5.0],  
	"no": [12.0, 10.0, 9.0, 8.0, 11.0]  
}
```

This dictionary indicates typical recency values for each target class. The "yes" class contains values such as 2.0, 4.0, 1.0, 3.0, 5.0, suggesting that individuals who recently donated blood are more likely to donate again. On the other hand, the "no" class includes values like 12.0, 10.0, 9.0, 8.0, 11.0, indicating that individuals who have not donated recently are less likely to donate in the current scenario.

It's important to note that these are hypothesized values and may vary depending on the specific dataset and context. Further analysis and data exploration should be conducted to validate these observations.