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Data sufficiency
Data sufficiency is a type of question commonly used in standardized tests, such as the GMAT, GRE, and other similar exams. In data sufficiency questions, you are given a question followed by two statements labeled as (1) and (2). You need to determine whether the information provided in the two statements, individually or combined, is sufficient to answer the question.
The answer choices for data sufficiency questions typically consist of the following options:
- (A) Statement (1) alone is sufficient, but statement (2) alone is not sufficient.
- (B) Statement (2) alone is sufficient, but statement (1) alone is not sufficient.
- (C) Both statements together are sufficient, but neither statement alone is sufficient.
- (D) Each statement alone is sufficient.
(E) Statements (1) and (2) together are not sufficient.
To correctly answer a data sufficiency question, you need to evaluate each statement separately, as well as consider the information provided in both statements together. You should not rely on any additional information or assumptions beyond what is given in the statements.
It's important to approach data sufficiency questions systematically and logically. You need to carefully analyze the information provided in the statements and determine whether it is enough to uniquely answer the question, or if additional information is needed. It's also important to avoid making assumptions or relying on outside knowledge, as the questions are designed to test your ability to work with the given data only.
When solving data sufficiency questions, it's a good practice to consider both sufficiency and insufficiency of the statements. It's not enough to determine if a statement is individually sufficient; you also need to consider if the statements are insufficient when combined. Remember, the correct answer is not necessarily the statement that provides a definitive answer to the question, but rather the one that provides enough information to determine the answer with certainty.
It's also important to manage your time carefully during the exam, as data sufficiency questions can be time-consuming. Practice solving a variety of data sufficiency questions to improve your skills and develop a systematic approach to tackling them.
