Bar graph titled Suggestions for Improving a University. The horizontal axis is labeled suggestion type. 4 data categories are shown. The vertical axis is labeled Number of suggestions. It ranges from 0 to 600 in increments of 50.
The data for the 4 categories are as follows:
- additive: 581 suggestions
- neither additive nor subtractive: 176 suggestions
- subtractive: 70 suggestions
- invalid: 374 suggestions\[0\]
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\[300\]
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\[500\]
\[600\]
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: ______
Which choice most effectively uses data in the graph to complete the statement?
Choose 1 answer:
Choose 1 answer:
(Choice A) fewer than 100 suggestions were coded as subtractive, whereas more than 550 suggestions were coded as additive.
A
fewer than 100 suggestions were coded as subtractive, whereas more than 550 suggestions were coded as additive.
(Choice B) more than 350 suggestions were coded as invalid, whereas fewer than 100 suggestions were coded as subtractive.
B
more than 350 suggestions were coded as invalid, whereas fewer than 100 suggestions were coded as subtractive.
(Choice C) around 575 suggestions were coded as additive, whereas around 175 suggestions were coded as subtractive.
C
around 575 suggestions were coded as additive, whereas around 175 suggestions were coded as subtractive.
(Choice D) around 175 suggestions were coded as neither additive nor subtractive, whereas around 575 suggestions were coded as additive.
D
around 175 suggestions were coded as neither additive nor subtractive, whereas around 575 suggestions were coded as additive.
