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Chapter 13 · Probability

Miscellaneous · Q11 (MCQ): P(B∣A)=1P(B\mid A) = 1 gives A⊂BA \subset B⁠, option (A)

Miscellaneous ExerciseConditional probability · Section 13.2
The question

Choose the correct answer.

If A and B are two events such that P(A)≠0P(A) \neq 0 and P(B∣A)=1P(B | A) = 1⁠, then

(A) A⊂BA \subset B    (B) B⊂AB \subset A    (C) B=ϕB = \phi    (D) A=ϕA = \phi

Exam answer

P(B∣A)=P(A∩B)P(A)=1P(B|A) = \frac{P(A \cap B)}{P(A)} = 1⁠, so P(A∩B)=P(A)P(A \cap B) = P(A)⁠.

Then P(A∩B′)=P(A)−P(A∩B)=0P(A \cap B') = P(A) - P(A \cap B) = 0⁠, so (with equally likely outcomes) A∩B′=ϕA \cap B' = \phi⁠: every outcome of AA is in BB⁠.

Answer: (A) A⊂BA \subset B

Want the reason behind every step, the basics and the checks?

The one idea this problem is built on

P(B∣A)=1P(B|A) = 1 says: once we know AA has happened, BB is certain. That happens when every outcome of AA is also an outcome of BB⁠, that is, when AA lies inside BB⁠. It is the reverse of Question 1 (i), which showed that A⊂BA \subset B gives P(B∣A)=1P(B|A) = 1⁠.

Given, to find, and the plan
Given
Events AA and BB of the same sample space, with P(A)≠0P(A) \neq 0 and P(B∣A)=1P(B|A) = 1⁠.
To find
Which of the four statements must be true.
Plan
(1) Unpack P(B∣A)=1P(B|A) = 1 with the definition. (2) Turn the result into a statement about sets. (3) Test every option on a die.

Basics you need

1Conditional probability (Section 13.2)

P(B∣A)=P(A∩B)P(A)P(B|A) = \frac{P(A \cap B)}{P(A)}⁠, provided P(A)≠0P(A) \neq 0⁠. Lesson: conditional probability

2Splitting an event

A=(A∩B)∪(A∩B′)A = (A \cap B) \cup (A \cap B')⁠, two disjoint pieces, so P(A)=P(A∩B)+P(A∩B′)P(A) = P(A \cap B) + P(A \cap B')⁠. Basics: Venn diagrams

3Subsets

A⊂BA \subset B means every outcome of AA is an outcome of BB⁠; equivalently A∩B′=ϕA \cap B' = \phi⁠. Basics: events as sets

Solution

  1. Unpack P(B∣A)=1P(B|A) = 1

    Since P(A)≠0P(A) \neq 0⁠, the definition gives

    P(A∩B)P(A)=1,so P(A∩B)=P(A).\begin{aligned} &\frac{P(A \cap B)}{P(A)} = 1, \\ &\text{so } P(A \cap B) = P(A). \end{aligned}
    Multiplying both sides by P(A)P(A) is allowed because P(A)≠0P(A) \neq 0⁠. The overlap of AA with BB has the same probability as all of AA⁠.
    Section 13.2, Definition 1. Lesson: conditional probability
  2. From probabilities to sets

    Split AA into the part inside BB and the part outside BB⁠:

    P(A∩B′)=P(A)−P(A∩B)=P(A)−P(A)=0.\begin{aligned} P(A \cap B') &= P(A) - P(A \cap B) \\ &= P(A) - P(A) = 0. \end{aligned}

    With equally likely outcomes, as in this chapter, an event of probability 0 has no outcomes. So A∩B′=ϕA \cap B' = \phi⁠: no outcome of AA lies outside BB⁠, which means A⊂BA \subset B⁠.

    S B A A ∩ B = A
    P(B∣A)=1P(B|A) = 1⁠: given AA⁠, the outcome is certainly in BB⁠, so AA sits inside BB⁠.
    "Probability 0" becomes "empty" because every outcome of a finite sample space with equally likely outcomes has a positive probability 1n(S)\frac{1}{n(S)}⁠. (In more general sample spaces, where single outcomes can have probability 0, P(B∣A)=1P(B|A) = 1 only says that the part of AA outside BB has probability 0; option (A) is the statement intended here.)
    A∩B′=ϕA \cap B' = \phi exactly when A⊂BA \subset B⁠. Basics: Venn diagrams
  3. Examine every option

    Throw a fair die, S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}⁠, and take A={2}A = \{2\}⁠, B={2,4,6}B = \{2, 4, 6\}⁠. Then P(A)=16≠0P(A) = \frac16 \neq 0 and P(B∣A)=16÷16=1P(B|A) = \frac16 \div \frac16 = 1⁠, so this pair satisfies the question.

    • (A) A⊂BA \subset B⁠. True here, and Step 2 proves it always holds. Correct.
    • (B) B⊂AB \subset A⁠. False here: 4 is in BB but not in AA⁠. Not always true.
    • (C) B=ϕB = \phi⁠. If B=ϕB = \phi⁠, then P(A∩B)=0P(A \cap B) = 0 and P(B∣A)=0P(B|A) = 0⁠, not 1. Never true.
    • (D) A=ϕA = \phi⁠. Then P(A)=0P(A) = 0⁠, which the question rules out. Never true.
    An option is correct only if it holds for every pair of events that satisfies the conditions; one counterexample rules an option out.
    P(E)=n(E)n(S)P(E) = \frac{n(E)}{n(S)} on a fair die. Basics: classical probability
Result

P(B∣A)=1P(B|A) = 1 gives P(A∩B′)=0P(A \cap B') = 0⁠, so A⊂BA \subset B⁠: option (A). (Textbook answer: A.)

Check it with numbers

The verify script takes every pair of events AA⁠, BB on a fair die with P(A)≠0P(A) \neq 0⁠: 4032 pairs. P(B∣A)=1P(B|A) = 1 in exactly 665 of them, and in every one of these A⊂BA \subset B⁠. Among the 665, B⊂AB \subset A holds only in the 63 pairs with A=BA = B⁠, and B=ϕB = \phi in none.

Common mistakes
  1. Choosing (B). P(B∣A)P(B|A) is about BB inside the world of AA⁠; it is AA that must lie in BB⁠.
  2. Thinking P(B∣A)=1P(B|A) = 1 means BB is certain. Only given AA⁠; on its own P(B)P(B) can be less than 1 (here 12\frac12⁠).
  3. Choosing (D). A=ϕA = \phi would make P(A)=0P(A) = 0⁠, and then P(B∣A)P(B|A) is not even defined.
What to take away
  1. P(B∣A)=1P(B|A) = 1 and A⊂BA \subset B go together (for equally likely outcomes): this question and Question 1 (i) are the two directions.
  2. To turn a probability statement into a set statement, split an event into disjoint pieces.

Every fact used, and where it comes from

FactUsed inSource
P(E∣F)=P(E∩F)P(F)P(E|F) = \frac{P(E \cap F)}{P(F)}⁠, P(F)≠0P(F) \neq 0Steps 1, 3Section 13.2, Definition 1 (Lesson: conditional probability)
P(A)=P(A∩B)+P(A∩B′)P(A) = P(A \cap B) + P(A \cap B')Step 2Class XI axioms (Basics: Venn diagrams)
A∩B′=ϕA \cap B' = \phi means A⊂BA \subset BStep 2Sets, Class XI (Basics: events as sets)
P(E)=n(E)n(S)P(E) = \frac{n(E)}{n(S)} on a fair dieStep 3Classical probability, Class XI (Basics: classical probability)
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