Miscellaneous · Q9: Two subsystems: A fails given B failed (0.5), and A fails alone (0.05)
An electronic assembly consists of two subsystems, say, A and B. From previous testing procedures, the following probabilities are assumed to be known:
P(A fails) = 0.2
P(B fails alone) = 0.15
P(A and B fail) = 0.15
Evaluate the following probabilities
(i) P(A fails|B has failed) (ii) P(A fails alone)
Let : subsystem A fails, and : subsystem B fails. Then
,
and P(B fails alone) .
(i) B fails either together with A or alone, and these cannot happen together, so
P(A fails | B has failed) .
(ii) A fails alone means A fails and B does not. As is the union of the disjoint events and ,
P(A fails alone) .
Want the reason behind every step, the basics and the checks?
Translate each phrase into an event. "B fails alone" is "B fails and A does not", ; "A fails alone" is . Then the failures of B split into two disjoint pieces (with A, without A), and so do the failures of A. Adding or subtracting pieces gives every probability we need.
- Given
- P(A fails) = 0.2, P(B fails alone) = 0.15, P(A and B fail) = 0.15.
- To find
- (i) P(A fails | B has failed). (ii) P(A fails alone).
- Plan
- (1) Name the events and write each given phrase as a set; convert the decimals to fractions. (2) Find by adding its two pieces. (3) Use . (4) Subtract to get A alone. (5) Check with the Venn diagram.
Basics you need
"A fails" is an event ; "B does not fail" is the complement ; "and" is . Basics: events as sets
and , with each pair of pieces disjoint, so their probabilities add. Basics: Venn diagrams
, provided . Lesson: conditional probability
Part (i): P(A fails | B has failed)
Name the events and translate the data
Let : subsystem A fails, and : subsystem B fails. Then
"B fails alone" means B fails and A does not fail:
The four regions: A alone , both , B alone , neither . B fails in the two right-hand regions, . "Alone" is the key word: it excludes the other subsystem. So "B fails alone" is not ; it is only the part of outside . Writing and keeps the arithmetic exact.Events as sets; complements. Basics: events as setsFind
Whenever B fails, A either fails too or does not, so , and the two pieces are disjoint:
The conditional probability in the next step divides by , which is not given directly; it is the sum of the two given pieces.Disjoint pieces add. Basics: Venn diagramsApply the definition
Given that B has failed, we look only inside (probability ); the part of it where A also fails has probability , exactly half.Section 13.2, Definition 1. Lesson: conditional probability
Part (ii): P(A fails alone)
Take the "both fail" piece away from
"A fails alone" is . Since with disjoint pieces,
Every failure of A happens with or without a failure of B. The failures of A with B have probability , so those without B have what is left of .What the numbers say about the subsystems
On its own, A fails with probability 0.2. Once B has failed, A fails with probability 0.5. So the failures are not independent: , but .
A failure of B makes a failure of A much more likely, as would happen if the two subsystems share a power supply. This is why we must use the given and not multiply by .Independence test (Section 13.4, Definition 3). Lesson: independent events
(i) P(A fails | B has failed) . (ii) P(A fails alone) .
(Textbook answer: (i) 0.5 (ii) 0.05.)
Picture 100 assemblies. A fails in 20 of them; both fail in 15; B fails alone in 15. So B fails in , and A fails in 15 of these: . A fails alone in : . Neither fails in assemblies.
- Using 0.15 as . 0.15 is "B fails alone"; B also fails in the 0.15 of cases where both fail, so .
- Getting in (i). That divides by "B fails alone" instead of by .
- Answering 0.2 in (ii). 0.2 is P(A fails), which includes the cases where B fails as well.
- "Alone" means "and not the other": , .
- Split an event into disjoint pieces to find a probability that is not given directly.
- Draw the four-region Venn diagram; every region follows by adding or subtracting.
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| Events as sets; complement | Part (i), Step 1; Part (ii), Step 1 | Sets, Class XI (Basics: events as sets) |
| Disjoint events add | Part (i), Step 2; Part (ii), Step 1 | Class XI axioms (Basics: Venn diagrams) |
| , | Part (i), Step 3 | Section 13.2, Definition 1 (Lesson: conditional probability) |
| Independence test | Part (ii), Step 2 | Section 13.4, Definition 3 (Lesson: independent events) |
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