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How do we symbolise propositions and use truth tables to test arguments for validity?

translate and symbolise propositions using logical operators, and use truth tables to test propositional arguments for validity

A focused QCE Unit 3 answer on propositional (sentential) logic. Covers symbolisation with the five logical operators, building truth tables for negation, conjunction, disjunction, the conditional and the biconditional, and using a full truth table to test an argument for validity.

Reviewed by: AI editorial process; not yet individually human-reviewed

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What this dot point is asking

QCAA wants you to move from ordinary English into the symbols of propositional logic (also called sentential logic) and then use truth tables as a mechanical test of validity. You need the five operators, their truth tables, and the method of checking every row for a line where the premises are all true and the conclusion false. This is core IA1 and external-exam content.

The answer

Symbolising propositions

A proposition is a statement that is true or false. We assign capital letters (P, Q, R) to simple propositions and combine them with logical operators (connectives):

  • Negation (not): the tilde, written as not-P or with the symbol applied to P.
  • Conjunction (and): P and Q.
  • Disjunction (or, inclusive): P or Q.
  • Conditional (if... then): if P then Q, where P is the antecedent and Q the consequent.
  • Biconditional (if and only if): P if and only if Q.

Translation tips: "but", "yet" and "however" usually signal conjunction; "unless" usually translates as a disjunction or a conditional; "only if" puts the condition in the consequent (P only if Q means if P then Q). Watch scope: "not P and Q" is ambiguous, so use brackets.

The truth tables for each operator

Each operator is defined entirely by how it maps the truth values of its parts. With T for true and F for false:

  • Negation: not-P is T when P is F, and F when P is T.
  • Conjunction (P and Q): T only when both P and Q are T; otherwise F.
  • Disjunction (P or Q): F only when both are F; otherwise T. (This is inclusive "or".)
  • Conditional (if P then Q): F only when P is T and Q is F; otherwise T. So a conditional with a false antecedent is automatically T.
  • Biconditional (P if and only if Q): T when P and Q have the same value; F when they differ.

The conditional is the one students find counter-intuitive: "if the moon is cheese then 2 plus 2 is 5" is true, because the antecedent is false. The conditional only makes a false claim when a true antecedent leads to a false consequent.

Building a full truth table

For an argument with two simple propositions there are 2 to the power 2 = 4 rows; with three there are 8 rows. List every combination of T and F for the basic letters, then compute each compound column step by step, working from the smallest sub-formulas outward.

Testing an argument for validity

An argument is valid if there is no row where every premise is true and the conclusion is false. Method:

  1. Symbolise each premise and the conclusion.
  2. Build a truth table with a column for each premise and the conclusion.
  3. Scan for any row in which all premises are T and the conclusion is F.
  4. If such a row exists, the argument is invalid (that row is the counterexample). If none exists, it is valid.

Worked example: modus ponens

Argument: "If P then Q; P; therefore Q." Premises: (if P then Q) and P; conclusion: Q.

P Q if P then Q P Q
T T T T T
T F F T F
F T T F T
F F T F F

Only row 1 has both premises (the conditional and P) true. In that row the conclusion Q is also true. There is no row with true premises and a false conclusion, so modus ponens is valid.

Tautologies, contradictions and contingencies

A formula true in every row is a tautology (for example "P or not-P", the law of excluded middle). One false in every row is a contradiction (for example "P and not-P"). One that is sometimes true and sometimes false is contingent. An argument is valid exactly when the conditional "(premises) therefore (conclusion)" is a tautology.

Try this

Q1. Give the truth table for the conditional "if P then Q" and explain when it is false. [3 marks]

  • Cue. False only when P is true and Q is false; true in the other three rows.

Q2. Symbolise: "You will pass only if you study." [2 marks]

  • Cue. "Only if" puts the condition in the consequent: if you pass then you studied (pass implies study).

Q3. Use a truth table to test "P or Q; not-P; therefore Q" (disjunctive syllogism). [4 marks]

  • Cue. The only row with both premises true is P false, Q true; there Q is true, so the form is valid.

Exam-style practice questions

Practice questions written in the style of QCAA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

QCAA 20225 marksSymbolise the argument and use a truth table to test it for validity: "If the alarm sounds, the building is evacuated. The building was not evacuated. Therefore the alarm did not sound."
Show worked answer →

A 5 mark response symbolises, builds the table, and reads off validity.

Symbolisation. Let P = "the alarm sounds" and Q = "the building is evacuated". Premises: (if P then Q) and not-Q. Conclusion: not-P. This is modus tollens.

Truth table (rows P, Q): when P=T, Q=T the conditional is T but not-Q is F; when P=T, Q=F the conditional is F; when P=F, Q=T the conditional is T but not-Q is F; when P=F, Q=F the conditional is T, not-Q is T, and the conclusion not-P is T.

Reading it. The only row where both premises are true is P=F, Q=F, and there the conclusion not-P is also true. No row has true premises and a false conclusion, so the argument is valid.

Markers reward correct symbolisation, a complete table, and the conclusion that modus tollens is valid because no counterexample row exists.

QCAA 20234 marksExplain why "if P then Q" is true whenever P is false, and why this matters for testing arguments with truth tables.
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A 4 mark response explains the material conditional and its testing role.

The rule. The conditional "if P then Q" is defined as false in exactly one case: a true antecedent (P) with a false consequent (Q). In every other case, including both rows where P is false, it counts as true (vacuously true).

Why it matters. When you scan a truth table for validity, you only need rows where all premises are true. Conditional premises are automatically true wherever their antecedent is false, so those rows are still candidates for a counterexample. Mishandling this (wrongly marking a false-antecedent conditional as false) would corrupt the validity test.

Markers reward the material-conditional rule and a clear link to checking rows in the validity method.

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