Step 1: Analyze the core of the question.
The question asks for the best method to detect cheating by analyzing answer sheets after a quiz, without direct monitoring during the quiz. This relies on finding statistical anomalies.
Step 2: Evaluate the options based on statistical probability.
(A) Not at all possible: This is an absolute statement and is incorrect. Statistical analysis of answer patterns is a valid method for detecting cheating.
(B) Always possible: This is also an absolute. Detecting cheating this way is about probability, not certainty. The teacher knowing the right answer is for grading, not directly for detecting cheating.
(C) Same incorrect answers: This is a very strong indicator of cheating. In a multiple-choice question with six options, there is one correct way to answer but five incorrect ways. It is statistically highly improbable for two students, sitting together, to independently choose the exact same wrong answer for multiple questions. This shared pattern of errors is a classic red flag. The caveat "there can be a small error in judgment" is accurate because it's a statistical inference, not absolute proof.
(D) Same correct answers: This is a much weaker indicator. It is plausible, especially for "good" or "brilliant" students, to arrive at the same correct answers through their own knowledge. While suspicious, it's not as statistically unlikely as sharing multiple identical errors.
(E) Only for poor students: This is a flawed assumption. Any student, regardless of ability, can cheat. The detection method based on answer patterns is not dependent on the students' academic level.
Step 3: Conclude the most logical method.
The most reliable and scientifically sound method for detecting cheating after the fact is to identify pairs or groups of students with an improbably high number of identical incorrect answers.
Therefore: The best statement is that it is possible when students share the same incorrect answers for multiple questions. \[
\boxed{\text{(C)}}
\]