Data Sufficiency
Data Sufficiency questions test your ability to determine whether the provided information (data) is enough to answer a question decisively. The goal is not to solve the problem fully, but to decide if you have enough information to do so.
In these problems, you are given:
- A question or problem statement
- Two or more statements or data points
Your task is to analyze whether the information from the statements is sufficient to answer the question.
What is Data Sufficiency?
- It is about evaluating the adequacy of information rather than finding the answer itself.
- You must decide if the data provided alone or combined can answer the question with certainty.
- The question remains the same; only the data provided changes.
Key Concepts
| Term | Meaning |
|---|---|
| Sufficient | Enough information to answer the question uniquely and definitely |
| Insufficient | Not enough information; cannot answer uniquely |
| Independent Statements | Statements that can be considered separately |
| Combined Statements | Statements considered together for sufficiency |
Approach to Solve Data Sufficiency Questions
- Understand the question carefully: Know exactly what is being asked.
- Evaluate Statement 1 alone: Is it sufficient to answer the question?
- Evaluate Statement 2 alone: Is it sufficient to answer the question?
- Evaluate both statements together: Are they sufficient when combined?
- Choose the correct option based on sufficiency, not on actually solving the problem.
Standard Options in Data Sufficiency
Typically, the answer choices are:
- (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 alone is sufficient.
- (D) Each statement alone is sufficient.
- (E) Statements together are not sufficient.
Tips and Common Mistakes
- Do not try to solve the problem fully unless needed; focus on sufficiency.
- Sometimes a statement seems useful but is ambiguous or incomplete.
- Avoid assumptions beyond what the statements provide.
- Remember, sufficiency means one unique answer only.
- Check for cases where data could give multiple answers — that means insufficient.
Examples
Example 1
Question: What is the value of ?
Statements:
Analysis:
- Statement 1 alone: — no unique because is unknown. Insufficient.
- Statement 2 alone: — no info about . Insufficient.
- Both together: Using , . Sufficient.
Answer: (C)
Example 2
Question: Is greater than 10?
Statements:
Analysis:
- Statement 1 alone: — can be greater or less than 10. Insufficient.
- Statement 2 alone: — can be greater or less than 10. Insufficient.
- Both statements together: — can be less than or greater than 10. Insufficient.
Answer: (E)
Example 3
Question: Is the number even?
Statements:
- is divisible by 4.
- is divisible by 2.
Analysis:
- Statement 1 alone: Divisible by 4 → must be even. Sufficient.
- Statement 2 alone: Divisible by 2 → even number. Sufficient.
- Both statements also sufficient individually.
Answer: (D)