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Chapter 13 · Probability

Exercise 13.1 · Q16 (MCQ): P(A∣B)P(A|B) when P(A)=12P(A) = \frac{1}{2}⁠, P(B)=0P(B) = 0

Exercise 13.1Conditional probability · Section 13.2
The question

Choose the correct answer.

If P(A)=12P(A) = \frac{1}{2}⁠, P(B)=0P(B) = 0⁠, then P(A∣B)P(A|B) is

(A) 0    (B) 12\frac{1}{2}

(C) not defined    (D) 1

Exam answer

By the definition of conditional probability, P(A∣B)=P(A∩B)P(B)P(A|B) = \frac{P(A\cap B)}{P(B)} only when P(B)P(B) is non-zero.

Here P(B)=0P(B) = 0⁠, so the formula cannot be used.

Answer: (C) not defined

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

The one idea this problem is built on

P(A∣B)P(A|B) means "the chance of AA in the world where BB has happened". The definition P(A∣B)=P(A∩B)P(B)P(A|B) = \dfrac{P(A\cap B)}{P(B)} carries the condition P(B)≠0P(B) \ne 0⁠. When P(B)=0P(B) = 0 there is no such world to shrink to, and the fraction would be a division by zero. So P(A∣B)P(A|B) is not defined: option (C). The value P(A)=12P(A) = \frac12 plays no part.

Given, to find, and the plan
Given
Events AA⁠, BB with P(A)=12P(A) = \frac12 and P(B)=0P(B) = 0⁠.
To find
Which option describes P(A∣B)P(A|B)⁠.
Plan
(1) Recall the definition with its condition. (2) Test the condition. (3) Examine every option.

Basics you need

1Conditional probability and its condition

P(E∣F)=P(E∩F)P(F)P(E|F) = \dfrac{P(E\cap F)}{P(F)}⁠, provided P(F)≠0P(F) \ne 0 (Definition 1, Section 13.2). Lesson: conditional probability

2Division by zero

A fraction ab\frac{a}{b} is the number that gives aa when multiplied by bb⁠. With b=0b = 0 there is no such single number, so a0\frac{a}{0} is not defined. Basics: dividing by a fraction

3A smaller event has a smaller probability

A∩BA\cap B is part of BB⁠, so 0≤P(A∩B)≤P(B)0 \le P(A\cap B) \le P(B)⁠. Basics: the rules of probability

Solution

  1. Recall the definition, with its condition

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

    provided P(B)≠0P(B) \ne 0⁠.

    The book notes that this is valid only when P(F)≠0P(F) \ne 0⁠, that is F≠ϕF \ne \phi⁠, and asks the reader why. The reason: conditioning on BB means using BB as the new sample space and measuring AA as a share of it. A share of something with probability 0 has no meaning.
    Definition 1, Section 13.2. Lesson: conditional probability
  2. Test the condition

    Here P(B)=0P(B) = 0⁠, so the condition fails. Also A∩BA\cap B is part of BB⁠, so

    0≤P(A∩B)≤P(B)=0,0 \le P(A\cap B) \le P(B) = 0,

    which forces P(A∩B)=0P(A\cap B) = 0⁠. The formula would read 00\frac{0}{0}⁠.

    00\frac{0}{0} has no single value: 0×1=00\times 1 = 0⁠, 0×12=00\times\frac12 = 0 and 0×7=00\times 7 = 0⁠, so every number "works" and none is the answer. Hence P(A∣B)P(A|B) is not defined.
    Division by zero is not defined. Basics: dividing by a fraction
  3. Examine every option

    (A) 0. The top P(A∩B)P(A\cap B) is 0, but the bottom is 0 too. A fraction is 0 only when its top is 0 and its bottom is not. Wrong.

    (B) 12\frac12⁠. This is P(A)P(A)⁠. It would be the answer if knowing BB did not change the chance of AA⁠, but that idea also needs P(B)≠0P(B) \ne 0⁠. Here no value at all can be given. Wrong.

    (C) not defined. The definition requires P(B)≠0P(B) \ne 0⁠, and P(B)=0P(B) = 0⁠. Correct.

    (D) 1. A conditional probability is 1 when BB is inside AA⁠, as in P(F∣F)=1P(F|F) = 1 (Property 1, Section 13.2.1), but that property also assumes P(F)≠0P(F) \ne 0⁠. Wrong.

    Options (A), (B) and (D) are all numbers, and each would need the definition to produce a value. The definition cannot be applied, so no number is correct.
    Every property of conditional probability is stated for P(F)≠0P(F) \ne 0⁠. Lesson: conditional probability
Result

P(A∣B)P(A|B) is not defined, because P(B)=0P(B) = 0⁠. The answer is (C).

(Textbook answer: C.)

Check it with numbers

Why no number can be chosen: roll a fair die and let A={1,2,3}A = \{1, 2, 3\}⁠, so P(A)=0.5P(A) = 0.5⁠. With B1={1}B_1 = \{1\}⁠, P(B1)=16≈0.1667P(B_1) = \frac16 \approx 0.1667 and P(A∣B1)=1P(A|B_1) = 1⁠; with B2={4}B_2 = \{4\}⁠, also P(B2)≈0.1667P(B_2) \approx 0.1667⁠, but P(A∣B2)=0P(A|B_2) = 0⁠. Small events can give any answer, and an event of probability 0, such as BB⁠: "the die shows 7", gives nothing to divide by.

Common mistakes
  1. Choosing (A) because the top is 0. The bottom is also 0; 00\frac{0}{0} is not 0.
  2. Choosing (B) because BB "cannot affect" AA⁠. The value P(A)=12P(A) = \frac12 is a distraction: it does not enter the answer.
  3. Forgetting the condition P(F)≠0P(F) \ne 0⁠. It is part of the definition, not a footnote.
What to take away
  1. P(E∣F)P(E|F) exists only when P(F)≠0P(F) \ne 0⁠. Check this before using the formula.
  2. Conditioning on an impossible event makes no sense: there is no world left to measure EE in.

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)}⁠, provided P(F)≠0P(F) \ne 0Steps 1, 2Section 13.2, Definition 1 and the note before it (Lesson: conditional probability)
A∩B⊆BA\cap B \subseteq B⁠, so P(A∩B)≤P(B)P(A\cap B) \le P(B)Step 2Class XI, Probability (Basics: the rules of probability)
P(F∣F)=1P(F|F) = 1Step 3, option (D)Section 13.2.1, Property 1
Division by zero is not definedStep 2Arithmetic (Basics: dividing by a fraction)
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