Statement & conclusion

Logical Reasoning · free study notes

Statement & Conclusion – Reasoning Ability

(For Dadra & Nagar Haveli & Daman & Diu TET – IIT‑JEE style)

Goal – Train you to extract the only conclusion that follows unambiguously from a given statement (or set of statements) and to flag invalid or multiple conclusions.


1. Conceptual Foundations

Term Definition Typical Usage
Statement (S) A factual premise that is assumed true. “All dogs are mammals.”
Conclusion (C) A logical inference that must hold if the statement(s) are true. “Therefore, some dogs are mammals.”
Valid Conclusion Holds true in every possible world that satisfies the statement(s). “All dogs are mammals → Some mammals are dogs.”
Invalid Conclusion Might be true or false depending on the actual world. “All dogs are mammals → All mammals are dogs.”
Uncertain Conclusion Not determinable from the given data. “All dogs are mammals → Some dogs are reptiles.”

Key rule:
A conclusion is valid iff it is a logical consequence of the statement(s).
In formal logic: (S \models C).


2. Types of Statement & Conclusion Problems

Pattern Example Notes
Single Statement “All roses are flowers.” Only one premise.
Multiple Statements “All roses are flowers. No roses are red.” Combine premises before concluding.
Quantified Statements “Some students are diligent.” Requires careful handling of “some/any/none.”
Conditional Statements “If it rains, the ground gets wet.” Must consider if‑then logic.
Contradictory Statements “All cats are mammals. Some cats are not mammals.” Leads to contradiction → no conclusion is valid.

3. Logical Operators & Their Effects

Symbol Meaning Example
∀ For all ∀x (Dog(x) → Mammal(x))
∃ There exists ∃x (Cat(x) ∧ Black(x))
¬ Negation ¬(∃x (Bird(x) ∧ CanFly(x)))
∧ Conjunction Dog(x) ∧ Friendly(x)
∨ Disjunction Rainy ∨ Cloudy

Important:

  1. ∃x P(x) ∧ ∀x Q(x) → You may infer ∃x (P(x) ∧ Q(x)) only if there is overlap between the domains, which is not guaranteed.
  2. ∀x P(x) ∧ ∃x Q(x) → You can’t generally deduce ∃x (P(x) ∧ Q(x)).

4. Step‑by‑Step Strategy

Step Action Rationale
1 Identify all premises – label them (S1, S2, …). Avoid missing any data.
2 Translate each premise into a formal logical expression. Clarifies quantifiers and connectives.
3 Look for direct logical consequences (e.g., universal → particular). Immediate deductions.
4 Apply rules of inference (Modus Ponens, Hypothetical Syllogism, etc.). Systematic deduction.
5 Check for contradictions – if premises contradict, no conclusion is valid. Avoid false positives.
6 Verify each answer option against the derived consequences. Only those that hold in all models of the premises are valid.

5. Common Tricky Points

Trick Why it’s tricky How to spot it
Overlap vs. Independence “Some A are B” + “Some B are C” does not imply “Some A are C”. Think of separate sets that don’t intersect.
Universal + Existential “All A are B” + “Some C are B” → you cannot claim “Some C are A”. Need shared domain evidence.
Negation of Quantifiers “Not all A are B” ≠ “Some A are not B”? They are equivalent, but if further premises say “All B are A”, you can still deduce “Some A are not B”.
Conditional Premises “If A then B” & “A” → B. But “If A then B” & “not A” → nothing about B.
Redundant Statements Multiple statements may be logically equivalent. Simplify before deducing.
Incorrect Direction of Inference From “Some A are B” to “All B are A” is a classic error. Remember directionality of universal vs. particular.

6. Illustrative Example (with Formal Derivation)

Premises

  1. (S_1): ∀x (Student(x) → HardWorking(x))
  2. (S_2): ∃y (Student(y) ∧ PoorGrades(y))
  3. (S_3): ¬∃z (HardWorking(z) ∧ PoorGrades(z))

Question – Which of the following is a valid conclusion?
A. Some hard‑working students have poor grades.
B. All hard‑working students have good grades.
C. No student is hard‑working.

Your note

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