Associative Law
Probability and Statistics · FE Reference Handbook section
Core formulas for this FE topic
Definitions, applicability, units, assumptions and worked examples for each relation.
Worked exam-style examples
The four ways this section is written on the real exam — thoughts first, then equations, then substitution.
Event A (a weld fails inspection) has P(A) = 0.30 and event B (a bolt fails inspection) has P(B) = 0.50, with P(A∩B) = 0.06. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.06
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.30 + 0.50 − 0.06 = 0.7400
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 0.7400 = 0.2600
Why the other options are there
- 0.3500 (assumed independence)
- 0.2000 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law
Event A (a weld fails inspection) has P(A) = 0.45 and event B (a bolt fails inspection) has P(B) = 0.55, with P(A∩B) = 0.12. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.12
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.45 + 0.55 − 0.12 = 0.8800
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 0.8800 = 0.1200
Why the other options are there
- 0.2475 (assumed independence)
- 0.0000 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law
Event A (a weld fails inspection) has P(A) = 0.60 and event B (a bolt fails inspection) has P(B) = 0.60, with P(A∩B) = 0.12. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.12
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.60 + 0.60 − 0.12 = 1.0800
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 1.0800 = -0.0800
Why the other options are there
- 0.1600 (assumed independence)
- -0.2000 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law
Event A (a weld fails inspection) has P(A) = 0.25 and event B (a bolt fails inspection) has P(B) = 0.35, with P(A∩B) = 0.09. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.09
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.25 + 0.35 − 0.09 = 0.5100
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 0.5100 = 0.4900
Why the other options are there
- 0.4875 (assumed independence)
- 0.4000 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law
Event A (a weld fails inspection) has P(A) = 0.40 and event B (a bolt fails inspection) has P(B) = 0.25, with P(A∩B) = 0.15. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.15
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.40 + 0.25 − 0.15 = 0.5000
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 0.5000 = 0.5000
Why the other options are there
- 0.4500 (assumed independence)
- 0.3500 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law
Event A (a weld fails inspection) has P(A) = 0.45 and event B (a bolt fails inspection) has P(B) = 0.50, with P(A∩B) = 0.08. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.08
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.45 + 0.50 − 0.08 = 0.8700
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 0.8700 = 0.1300
Why the other options are there
- 0.2750 (assumed independence)
- 0.0500 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law
Event A (a weld fails inspection) has P(A) = 0.35 and event B (a bolt fails inspection) has P(B) = 0.35, with P(A∩B) = 0.07. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.07
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.35 + 0.35 − 0.07 = 0.6300
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 0.6300 = 0.3700
Why the other options are there
- 0.4225 (assumed independence)
- 0.3000 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law
Event A (a weld fails inspection) has P(A) = 0.35 and event B (a bolt fails inspection) has P(B) = 0.45, with P(A∩B) = 0.07. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.07
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.35 + 0.45 − 0.07 = 0.7300
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 0.7300 = 0.2700
Why the other options are there
- 0.3575 (assumed independence)
- 0.2000 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law
Event A (a weld fails inspection) has P(A) = 0.25 and event B (a bolt fails inspection) has P(B) = 0.35, with P(A∩B) = 0.09. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.09
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.25 + 0.35 − 0.09 = 0.5100
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 0.5100 = 0.4900
Why the other options are there
- 0.4875 (assumed independence)
- 0.4000 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law
Event A (a weld fails inspection) has P(A) = 0.45 and event B (a bolt fails inspection) has P(B) = 0.35, with P(A∩B) = 0.13. Use De Morgan's law to compute the probability that neither event occurs.
Given
P(A∩B) = 0.13
Find
P(Ā ∩ B̄) using De Morgan's law
Start with the thinking
- De Morgan's law states that the complement of a union is the intersection of the complements.
- So 'neither fails' is one minus the probability that at least one fails.
Step-by-step solution
Formula — P(A∪B) = P(A) + P(B) − P(A∩B)
Substituting — P(A∪B) = 0.45 + 0.35 − 0.13 = 0.6700
De Morgan's law
Substituting — P(Ā∩B̄) = 1 − 0.6700 = 0.3300
Why the other options are there
- 0.3575 (assumed independence)
- 0.2000 (ignored the overlap)
Reference: FE Reference Handbook — Probability and Statistics → Associative Law