Based on my prior knowledge, the feature "fnlwgt" represents the number of units in the target population that the responding unit represents. It is a numeric variable. To determine the appropriate ranges of values for this feature, we can look at the distribution of "fnlwgt" across the target classes.

To do this analysis, we can visualize the distribution of "fnlwgt" for both the "yes" and "no" classes. We can then identify the typical values for each class.

However, since I don't have access to the data, I won't be able to provide the exact values of "fnlwgt" for each class. But I can provide you with a general approach to analyze the relationship between "fnlwgt" and the task of earning more than 50000 dollars per year.

Here's an example of how the dictionary could be created:

```json
{
	"no": [1000, 2000, 3000, 4000, 5000],
	"yes": [50000, 60000, 70000, 80000, 90000]
}
```

In this example, the values of "fnlwgt" for the "no" class are [1000, 2000, 3000, 4000, 5000], and the values for the "yes" class are [50000, 60000, 70000, 80000, 90000]. These are just dummy values for illustration purposes, and the exact values will depend on the dataset being analyzed.

To get the actual values for the dictionary, you would need to analyze the dataset and observe the distribution of "fnlwgt" for each target class. You can use techniques such as histograms or box plots to get a better understanding of the data.