Question

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:

A)fewer than 100 suggestions were coded as subtractive, whereas more than 550 suggestions were coded as additive.

B)more than 350 suggestions were coded as invalid, whereas fewer than 100 suggestions were coded as subtractive.

C)around 575 suggestions were coded as additive, whereas around 175 suggestions were coded as subtractive.

D)around 175 suggestions were coded as neither additive nor subtractive, whereas around 575 suggestions were coded as additive.

Answer 1

The most effective data point in the graph indicates that fewer than 100 suggestions were subtractive, while more than 550 were additive, demonstrating an oversight in considering removal as a form of improvement.

Step-by-step explanation:

Gabrielle Adams and colleagues found that when reviewing suggestions for improving a university, the data showed people's tendency to overlook the possibility of removing things to achieve improvements. The choice that most effectively uses data in the graph to complete the statement is fewer than 100 suggestions were coded as subtractive, whereas more than 550 suggestions were coded as additive. This indicates that a substantially greater number of people offered ideas that involved adding new features or elements to the university rather than taking away existing ones to streamline or improve operations.

Answer 2

To determine the correct answer, let's analyze the given options in relation to the information provided about the coding of suggestions for improving the university:

"The data illustrated people’s tendency to overlook the possibility of removing things to achieve improvements."

The data is about suggestions being categorized as additive, subtractive, neither additive nor subtractive, or invalid.

Now let's evaluate the options:

A) "Fewer than 100 suggestions were coded as subtractive, whereas more than 550 suggestions were coded as additive."

This doesn't support the idea that people tend to overlook the possibility of removing things.

B) "More than 350 suggestions were coded as invalid, whereas fewer than 100 suggestions were coded as subtractive."

This doesn't provide information about the tendency to overlook the removal of things.

C) "Around 575 suggestions were coded as additive, whereas around 175 suggestions were coded as subtractive."

This option doesn't specifically address the tendency to overlook subtractive suggestions.

D) "Around 175 suggestions were coded as neither additive nor subtractive, whereas around 575 suggestions were coded as additive."

This option suggests that a significant number of suggestions were coded as additive, supporting the idea that people tend to add things, and fewer were coded as neither additive nor subtractive.

Therefore, the most effective choice that uses data in the graph to complete the statement is:

D) Around 175 suggestions were coded as neither additive nor subtractive, whereas around 575 suggestions were coded as additive.