City transit official: To assess the public's satisfaction with the newly introduced Rapid Commute bus line, we surveyed commuters waiting at the line's busiest stops during the morning rush hour. Over 90 percent of the respondents indicated that the new bus line is highly convenient and significantly reduces their commute time. Clearly, the residents of this city overwhelmingly find the new Rapid Commute line to be a valuable and convenient addition to our transit system.
Which of the following most accurately describes a flaw in the transit official's reasoning?
- It bases a broad generalization about the city's residents on a sample that is inherently biased toward those who already use and benefit from the service.Answer
- BIt treats evidence concerning the proportion of surveyed individuals who are satisfied as definitive evidence regarding the total absolute number of satisfied residents in the city.
- CIt concludes that the new bus line is the primary cause of reduced commute times, when the evidence provided only establishes a statistical correlation between the two.
- DIt treats a condition that is sufficient to make a commute convenient as a condition that is logically necessary for any convenient commute.
- EIt relies on an ambiguous use of the term 'convenient', shifting its meaning illicitly between the survey responses and the final conclusion.
Answer
The argument bases a broad generalization about the city's residents on a sample that is inherently biased toward those who already use and benefit from the service.
The argument's conclusion makes a sweeping claim about 'the residents of this city' based entirely on a survey of people who were already waiting at the bus stops of the new line. This is a classic example of an unrepresentative sample (selection bias). People who actively choose to wait for a bus are much more likely to find it convenient than the general public. Those who find it inconvenient likely took a different form of transportation and were entirely excluded from the survey.
Step-by-Step Solution
Key Concept
Identifying Unrepresentative Samples and Selection Bias