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

TermMeaning
SufficientEnough information to answer the question uniquely and definitely
InsufficientNot enough information; cannot answer uniquely
Independent StatementsStatements that can be considered separately
Combined StatementsStatements considered together for sufficiency

Approach to Solve Data Sufficiency Questions

  1. Understand the question carefully: Know exactly what is being asked.
  2. Evaluate Statement 1 alone: Is it sufficient to answer the question?
  3. Evaluate Statement 2 alone: Is it sufficient to answer the question?
  4. Evaluate both statements together: Are they sufficient when combined?
  5. 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 xx?

Statements:

  1. x+y=10x + y = 10
  2. y=4y = 4

Analysis:

  • Statement 1 alone: x+y=10x + y = 10 — no unique xx because yy is unknown. Insufficient.
  • Statement 2 alone: y=4y = 4 — no info about xx. Insufficient.
  • Both together: Using y=4y=4, x+4=10x=6x + 4 = 10 \Rightarrow x = 6. Sufficient.

Answer: (C)


Example 2

Question: Is xx greater than 10?

Statements:

  1. x>5x > 5
  2. x<15x < 15

Analysis:

  • Statement 1 alone: x>5x > 5xx can be greater or less than 10. Insufficient.
  • Statement 2 alone: x<15x < 15xx can be greater or less than 10. Insufficient.
  • Both statements together: 5<x<155 < x < 15xx can be less than or greater than 10. Insufficient.

Answer: (E)


Example 3

Question: Is the number nn even?

Statements:

  1. nn is divisible by 4.
  2. nn 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)