36. Number of people from the victim sample group who complained about their overseas purchases.

Question

36.  Number of people from the victim sample group who complained about their overseas purchases.

BlackTom AI · Accepted Answer

The prompt asks for a numeric value: 'Number of people from the victim sample group who complained about their overseas purchases.' This implies we should provide a count derived from data.

However, the provided answer is 'independent control group,' which names a group rather than a numeric figure. Since the question seeks a quantity, this option cannot be a valid numeric answer.

Additionally, the answer_options field is empty in the provided data. Without a list of possible choices to compare, we cannot evaluate alternatives or confirm which option (if any) would correctly yield the requested count.

To reason through a proper approach, one would need:
- A clear definition of the victim sample group and its size.
- Actual observations or data recording how many individuals in that group complained about overseas purchases.
- If a comparison with a control group is intended, the control group should be defined and data collected for it as well, but the question specifically asks for the victim sample group count.

Given these gaps, the most sensible steps are to locate the dataset or study report that contains the counts for complaints within the victim sample group, verify that you are extracting a numeric count, and refrain from selecting a label like 'independent control group' as the answer since it does not represent a number.

In summary, the current answer option is inappropriate for a numeric question, and the lack of answer options prevents a complete, option-by-option analysis. To proceed, obtain the actual data or the full list of answer choices and re-evaluate against the dataset’s counts for the victim sample group.

DEC 10 DEC 10 Week 4 Practice Reading Test (with answers)

36. Number of people from the victim sample group who complained about their overseas purchases.

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