Gabrielle Adams and colleagues reviewed suggestions for improving a university that had been submitted to the university’s president. They coded each suggestion as additive (the idea suggested adding something new to the university), subtractive (the idea suggested removing something from the university), neither additive nor subtractive, or invalid (the idea was not comprehensible). The data illustrated people’s tendency to overlook the possibility of removing things to achieve improvements: ______blank
Which choice most effectively uses data in the graph to complete the statement?
Correct answer: C
Explanation
Choice C is the best answer. This choice shows that people suggested removing things to achieve improvements a lot less often than they suggested adding things, which supports the claim that people tend not to think of removing things as a likely way to improve the university.
Choice A is incorrect. This choice doesn’t support the claim. We are looking to prove that people suggested subtractive means of achieving improvements less often than other means, but this choice doesn’t address how often people made subtractive suggestions. Choice B is incorrect. This choice doesn’t support the claim. Invalid responses were incomprehensible, so we can’t compare what they were suggesting to what was being suggested in subtractive responses. Choice D is incorrect. This choice misreads the graph. Fewer than 100 suggestions were coded as subtractive. 175 is the approximate number of suggestions coded as “neither additive or subtractive.”
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