Question

If you analyze the three reports above, which of the following statements would be the best inference?

• A. Newspapers publish completely wrong data.
• B. All three reports have been bought by the companies.
• C. Newspapers may report selectively.
• D. Apple is leading but its dominance in Korean market is definitely under threat.
• E. Customer’s response, in report 2, is neutral and objective.
• A. iPhone4, another product from Apple, could have been the best seller in the U.S.
• B. HTC-One was the most preferred device in Japan.
• C. OnDevice included Google in the list because it is an important player in Android market.
• D. Customer satisfaction never leads to higher customer loyalty.
• J. None of the above.
• A. OnDevice has been paid by Motorola to publish.
• B. Customers in France, in report3, have voted Samsung as the favorite company.
• C. Customers in Japan, in report3, have voted Samsung as the favorite company.
• D. Sales and satisfaction may not be perfectly related with each other.
• O. None of the above.
• A. The reader is an Apple user.
• B. If the reader is an Apple user, his usage rate is higher.
• C. The reader is a frequent user of HTC One.
• D. The reader does not like Android platform.
• T. The reader wants more objective data to be released by the companies.

Answer 1

The Correct Option is C

Step 1: Compare the focus of the reports.
Report 1 stresses market share Apple leads in US sales).
Report 2 questions data reliability Especially Samsung’s reported sales).
Report 3 ranks customer satisfaction, where Apple is only 5th in the US.
Step 2: Note the inconsistency source.
The reports emphasize different metrics (sales vs. credibility vs. satisfaction), so conclusions vary without any one being fully “wrong.”
Step 3: Eliminate distractors.
(A) “Completely wrong data” — too strong; each uses a different lens.
(B) “All bought” — unsupported accusation.
(D) Mentions the Korean market — not discussed.
(E) Report 2 is a reader’s critique, not neutral survey data.
Therefore: the reasonable inference is that media select what to highlight, producing differing narratives. \[ \boxed{\text{Newspapers may report selectively.}} \]

Answer 2

Step 1: Identify what report1 and report3 measure.
- Report1 focused on sales figures — showing Apple as the top seller in the U.S.
- Report3 focused on customer satisfaction rankings — Apple ranked only 5th in the U.S.
Step 2: Recognize why ranks diverge.
Sales volume (how many units are sol(D) and satisfaction level (how happy customers are after purchas(E) are two different metrics. A company can sell the most units but still not lead in satisfaction surveys.
Step 3: Evaluate options.
(A) Talking about iPhone4 as best seller does not explain satisfaction ranking.
(B) HTC-One in Japan is irrelevant to U.S. rankings.
(C) Inclusion of Google in Android list is unrelated.
(D) The statement “customer satisfaction never leads to loyalty” is an absolute claim and not logically linked to the divergence.
Therefore: none of the given options explains the divergence between sales rank and satisfaction rank. Hence, the answer is: \[ \boxed{\text{None of the above.}} \]

Answer 3

Step 1: Recognize the two metrics.
Report1 ranks firms by sales/market share; Report3 ranks devices by customer satisfaction. These are distinct measures.
Step 2: Explain the divergence.
A brand can sell the most units yet score lower in satisfaction surveys, and vice-versa. Therefore, differing ranks across the two reports can arise naturally because sales and satisfaction are not perfectly correlated.
Step 3: Eliminate distractors.
(A) Accusation without evidence.
(B), (C) Country-specific votes don’t explain U.S. vs global divergence broadly.
(E) Not applicable because (D) already provides a sound reason.
\[ \boxed{\text{Sales and satisfaction are different constructs, so ranks can diverge.}} \]

Answer 4

Step 1: Identify the context of Report2.
Report2 is based on the opinions and perspectives of readers/respondents rather than hard sales or satisfaction metrics. It reflects the attitude or concerns of the reader.
Step 2: Examine each option.
(A) The reader is an Apple user. — No such conclusion about brand usage is directly stated.
(B) If the reader is an Apple user, his usage rate is higher. — This is conditional speculation, not a conclusion.
(C) The reader is a frequent user of HTC One. — No evidence supports this.
(D) The reader does not like Android platform. — Too specific, not inferred.
(E) The reader wants more objective data to be released by the companies. ✔ — This is the most reasonable conclusion, since Report2 reflects skepticism and a demand for unbiased, factual information.
Step 3: Logical conclusion.
Among the options, only (E) is a fair conclusion that aligns with the spirit of Report2, which emphasizes the need for objectivity and transparency.
\[ \boxed{\text{The reader prefers objective and unbiased data from companies.}} \]