A margin of error gives a plausible range around a survey estimate, but first check who could be selected. Build each range in Desmos by subtracting and adding the margin in percentage points. Then compare the ranges: overlapping ranges cannot establish which population has a higher percentage. Random selection does not make a survey of a subgroup represent everyone.
Hints
- Hint 1
A random sample can support a conclusion about the group from which people were selected. Who could enter the first survey, and is that the same group named in claim I?
- Hint 2
A margin of error measured in percentage points is subtracted from and added to the estimate. What range do you get from and points, and which group does it describe?
- Hint 3
Compare the two plausible ranges before deciding whether one population has a lower percentage. If the ranges overlap, could both populations have the same percentage? Then consider what a larger sample does to the margin of error.
Step-by-step
Match each survey to its population, then compare ranges
Step 1Identify whom the first survey represents
A population is the complete group a random sample can represent. The first sample represents activity participants, not all 10th graders. Claim I uses that survey to describe all 10th graders, so I isn't supported.
- Step 2
Find the first survey's plausible range
Type and in Desmos. It shows and . The means percentage points, not of . So to is plausible for activity participants, as II says.
- Step 3
Find the second survey's plausible range
For the second survey, add and in Desmos. It shows and . Because this sample was drawn from all 10th graders, its plausible range of to describes that whole group.
- Step 4
Test the claim that one group sleeps less
The two ranges overlap from to . Both populations could have a value of , so the different sample estimates do not establish that activity participants are less likely to get enough sleep. III isn't supported.
- Step 5
Check the effect of a larger sample
A larger random sample from the same population, using the same method, generally gives a smaller margin of error: more observations make the estimate more precise. So IV is supported. The appropriate conclusions are II and IV only. Choice B.