The question asks us to explain why the results of the observation supported the initial hypothesis.
Hypothesis: Studying more increased a student's chances of earning a higher grade.
Observation: The students who spent the most time studying did not earn grades that were as high as many students who studied less.
The key here is that the hypothesis is a comparison between a student who studies say 10 hours a week and that same student if he/she were to study say 20 hours per week. So, while the hypothesis is a prediction about how a single student would perform under various conditions, the observation is a result measured across different students. Answer choice (C) helps to explain the why the observation across students did not undermine the hypothesis about any one particular student.
(A) is a comparison across students, whereas the conclusion is about a particular student under various conditions.
(B) is irrelevant. This might be addressing another issue related to student performance, it does not explain why the researchers stuck with their initial hypothesis.
(C) helps explain why the researchers concluded that the hypothesis was supported by the results of the observation. If the students improved relative to themselves, then the more a student studied the better chance they had of earning a higher grade.
(D) says that the students who studied the least weren't busy doing other things. What students do when they're not studying is irrelevant to whether studying improves their grades.
(E) is irrelevant. Understanding course material and receiving a higher grade relative to others doesn't help support the idea that studying more can improve your own grade.
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