Introduction
In Statement-Conclusion Based Data Sufficiency problems, two statements are provided, and you must decide whether each statement alone-or both together-gives enough logical information to confirm the given conclusion.
This pattern is essential because it tests your ability to distinguish between what logically follows and what is assumed or inferred without support.
Pattern: Statement–Conclusion Based Data Sufficiency
Pattern
Evaluate whether each statement (I) or (II) provides sufficient logical ground to confirm the conclusion beyond doubt.
The key idea: You are not verifying truth of statements but testing if the conclusion definitely follows logically from them.
Step-by-Step Example
Question
Conclusion: “Hard work leads to success.”
(I) Successful people are hardworking.
(II) Lazy people do not succeed.
Options:
A. Only (I) is sufficient
B. Only (II) is sufficient
C. Each statement alone is sufficient
D. Both statements together are necessary
Solution
-
Step 1: Analyze (I)
(I) says all successful people are hardworking. But the conclusion “Hard work leads to success” reverses the relation - it asserts that hard work causes success, not just that successful people happen to be hardworking. Hence (I) alone is insufficient. -
Step 2: Analyze (II)
(II) says lazy people do not succeed, which implies that hard work (opposite of laziness) might lead to success, but not with absolute certainty. It gives supporting but not conclusive evidence → insufficient alone. -
Step 3: Combine
Together, (I) and (II) create both directions of the relationship - that successful people are hardworking and lazy people do not succeed. This logically supports the conclusion that hard work leads to success. -
Final Answer:
Both statements together are necessary → Option D -
Quick Check:
(I) gives partial correlation; (II) eliminates contradiction; together form complete causal link ✅
Quick Variations
1. Conclusions based on moral, behavioral, or general rules (e.g., honesty, teamwork).
2. Contradictory or negative forms: “Hard work does not always lead to success.”
3. Comparative conclusions: “X is better than Y.”
4. Abstract logic conclusions involving cause-effect or general truths.
Trick to Always Use
- Step 1: Rephrase the conclusion in plain logic form (e.g., “If A works hard → A succeeds”).
- Step 2: Test each statement to see if it confirms or contradicts the conclusion directly.
- Step 3: If neither alone confirms it, check if both together provide cause + effect.
- Step 4: If still not decisive, the data is insufficient.
Summary
Summary
- Always test logical sufficiency, not factual truth.
- Reverse-direction traps are common (“All successful are hardworking” ≠ “All hardworking succeed”).
- Combine complementary statements to build full logical connection.
- Reject assumptions not stated in either premise.
Example to remember:
If (I) says 'All successful are hardworking' and (II) says 'Lazy never succeed', together they confirm that 'Hard work leads to success'.
