Based on prior knowledge, the feature "fnlwgt" represents the number of units in the target population that the responding unit represents. Since no specific information is provided about the target variable, we need to analyze the relationship between the feature and the task to determine the appropriate ranges of values.

To do this, we can compare the distribution of "fnlwgt" for the two classes of the target variable ("no" and "yes"). By examining the values of "fnlwgt" for individuals who earn more or less than $50000 per year, we can determine typical ranges of values for each class.

After conducting the analysis, we can create a dictionary as requested, with a list of typical "fnlwgt" values for each target class.

Here is the dictionary:

```json
{
	"no": [12345, 67890, 98765, 43210, 56789],
	"yes": [98765, 98765, 87654, 56789, 43210]
}
```

Please note that the values provided here are just examples and should be replaced with actual values obtained from the data analysis.