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Problem-Solving and Data AnalysisVery hardThe population a sample estimate describes

Problem-Solving and Data Analysis practice question

A cycling magazine emailed a survey to 1,000 randomly selected subscribers, and all of them responded. The mean time subscribers reported exercising was 6.2 hours per week, with a margin of error of 0.4 hours.

Which conclusion is best supported by these results?

  1. A. It is plausible that the mean weekly exercise time of all subscribers to the magazine is between 5.8 and 6.6 hours.Correct
  2. B. It is plausible that the mean weekly exercise time of all adults in the country is between 5.8 and 6.6 hours.
  3. C. Every subscriber to the magazine exercises between 5.8 and 6.6 hours per week.
  4. D. Reading the magazine causes subscribers to exercise about 6.2 hours per week.

Answer: A. It is plausible that the mean weekly exercise time of all subscribers to the magazine is between 5.8 and 6.6 hours.

A random sample supports conclusions about the population it was drawn from — here, subscribers to the magazine. The interval 6.2 plus or minus 0.4 gives 5.8 to 6.6 hours for that population's mean.

Why the other answers are wrong

B. It is plausible that the mean weekly exercise time of all adults in the country is between 5.8 and 6.6 hours.
The 1,000 people were selected at random from SUBSCRIBERS, not from adults in general. Subscribers to a cycling magazine are unlikely to be typical of everyone, so the estimate can't be stretched to the whole country.
C. Every subscriber to the magazine exercises between 5.8 and 6.6 hours per week.
The interval is about the population's mean, not about individuals. Some subscribers will exercise far more or far less while the average still lies in 5.8 to 6.6.
D. Reading the magazine causes subscribers to exercise about 6.2 hours per week.
This is an observational survey with no comparison group and no assignment, so it can show what subscribers report — not that the magazine caused it. People who already cycle a lot are the ones likely to subscribe.

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