Answer:
(A) Data fabrication
Step-by-step explanation:
The student in this example would be guilty of data fabrication. Data fabrication occurs when a researcher constructs or adds data, observations or characterizations that did not actually occur in the gathering of data or during the experiments. This is a dangerous practice, as it renders the study meaningless.