Based on prior knowledge, we can analyze the relationship between the feature "duration" and the task "Does this person receive a credit?".

Analysis:
In general, it is difficult to determine specific duration ranges that directly relate to credit approval without additional context. However, we can make some assumptions based on common understanding:

1. Yes: People who receive credit might have durations that vary depending on the loan type. Generally, we can expect a range of durations. For example, considering short-term loans, durations may be from 1 month to 36 months.
2. No: People who do not receive credit might have durations that also vary, but they may tend to be either very short or very long. For example, durations less than 12 months or durations greater than 90 months.

Based on this analysis, we can construct the requested dictionary:

```json
{
	"yes": [1.0, 6.0, 12.0, 24.0, 36.0],
	"no": [0.0, 48.0, 60.0, 72.0, 120.0]
}
```

Please note that these values are purely hypothetical and should be revised based on the specific dataset and domain knowledge.