You're confusing
response rate with
representativeness. These are
completely different concepts!
Let me clarify with a simple example:Imagine surveying
100 people about ice cream flavors:
• Scenario 1: Only
20 people respond (
20% response rate)
• Scenario 2:
90 people respond (
90% response rate)
What matters is NOT how many responded, but WHETHER those who responded represent everyone!Option C tells us: The
62% who support the change among respondents = approximately
62% support among ALL potential readers
This means:
✓ If
20% responded and they're representative → we can trust the
62% figure
✓ If
90% responded but they're NOT representative → we CANNOT trust the
62% figure
Think of it this way: You're at a party with
100 guests. You ask
10 random people if they like the music. If those
10 are truly representative (mix of ages, tastes, etc.), their opinion reflects the room - even though you only asked
10%!
Therefore: Option C strengthens by confirming representativeness, NOT by telling us the response rate!Note that Option A (which mentions
90% response rate) is
incorrect precisely because high response rate ≠ representative sample!
Hope this clarifies!
afra94
For option C, Could you please explain why we do not consider the possibility that only say 20% of the survey takers actually returned the survey? Does that not mean that we do not know what the remaining 80% voted for?.