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Chapter 13 · Probability

Exercise 13.3 · Q14 (MCQ): A⊂BA \subset B⁠: P(A∣B)≥P(A)P(A\mid B) \ge P(A)⁠, option (C)

Exercise 13.3Conditional probability · Section 13.2
The question

If A and B are two events such that A⊂BA \subset B and P(B)≠0P(B) \neq 0⁠, then which of the following is correct?

(A) P(A∣B)=P(B)P(A)P(A|B) = \dfrac{P(B)}{P(A)}    (B) P(A∣B)<P(A)P(A|B) < P(A)

(C) P(A∣B)≥P(A)P(A|B) \ge P(A)    (D) None of these

Exam answer

Since A⊂BA \subset B⁠, A∩B=AA \cap B = A⁠.

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

As 0<P(B)≤10 < P(B) \le 1 and P(A)≥0P(A) \ge 0⁠, P(A)P(B)≥P(A)\frac{P(A)}{P(B)} \ge P(A)⁠.

Answer: (C) P(A∣B)≥P(A)P(A|B) \ge P(A)

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

The one idea this problem is built on

Knowing that BB has happened shrinks the sample space to BB⁠. Since AA lies inside BB⁠, none of AA is cut away, while the space it sits in gets smaller (or stays the same). So AA takes up at least as large a share of the new space as of the old: P(A∣B)=P(A)P(B)≥P(A)P(A|B) = \frac{P(A)}{P(B)} \ge P(A)⁠.

Given, to find, and the plan
Given
Events AA and BB of the same sample space SS⁠, with A⊂BA \subset B (every outcome of AA is an outcome of BB⁠) and P(B)≠0P(B) \neq 0⁠.
To find
Which statement about P(A∣B)P(A|B) is always correct.
Plan
(1) Turn A⊂BA \subset B into A∩B=AA \cap B = A⁠. (2) Use the definition of P(A∣B)P(A|B)⁠. (3) Compare P(A)P(B)\frac{P(A)}{P(B)} with P(A)P(A)⁠. (4) Test every option on a die.

Basics you need

1Subsets and intersections

If A⊂BA \subset B⁠, the outcomes common to AA and BB are exactly the outcomes of AA⁠: A∩B=AA \cap B = A⁠. Basics: events as sets

2Conditional probability (Section 13.2)

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

3Every probability lies between 0 and 1

0≤P(E)≤10 \le P(E) \le 1 for every event, and P(A)≤P(B)P(A) \le P(B) when A⊂BA \subset B⁠. Basics: rules of probability

4Dividing by a number at most 1

If 0<q≤10 < q \le 1 and p≥0p \ge 0⁠, then pq≥p\frac{p}{q} \ge p⁠: for example 0.30.5=0.6\frac{0.3}{0.5} = 0.6⁠. Basics: dividing by a fraction

Solution

  1. What A⊂BA \subset B tells us

    Every outcome of AA is also an outcome of BB⁠, so the outcomes in both AA and BB are just the outcomes of AA⁠:

    A∩B=A.A \cap B = A.

    Also P(A)≤P(B)P(A) \le P(B)⁠, because BB contains all of AA and possibly more.

    The definition of P(A∣B)P(A|B) needs P(A∩B)P(A \cap B)⁠. For a subset, the intersection is the smaller set itself, so P(A∩B)=P(A)P(A \cap B) = P(A)⁠.
    Events are sets of outcomes; A⊂BA \subset B means A∩B=AA \cap B = A⁠. Basics: events as sets
  2. Write P(A∣B)P(A|B) by the definition

    Since P(B)≠0P(B) \neq 0⁠, the definition of conditional probability applies:

    P(A∣B)=P(A∩B)P(B)=P(A)P(B).P(A|B) = \frac{P(A \cap B)}{P(B)} = \frac{P(A)}{P(B)}.
    The condition P(B)≠0P(B) \neq 0 in the question is exactly what the definition needs: we may not divide by 0.
    P(E∣F)=P(E∩F)P(F)P(E|F) = \frac{P(E \cap F)}{P(F)}⁠, P(F)≠0P(F) \neq 0 (Section 13.2, Definition 1). Lesson: conditional probability
  3. Compare with P(A)P(A)

    We know 0<P(B)≤10 < P(B) \le 1 and P(A)≥0P(A) \ge 0⁠. Dividing a number that is not negative by a positive number at most 1 cannot make it smaller, so

    P(A)P(B)≥P(A),that is, P(A∣B)≥P(A).\begin{aligned} &\frac{P(A)}{P(B)} \ge P(A), \\ &\text{that is, } P(A|B) \ge P(A). \end{aligned}

    In detail: P(A)P(B)−P(A)=P(A)⋅1−P(B)P(B)\frac{P(A)}{P(B)} - P(A) = P(A) \cdot \frac{1 - P(B)}{P(B)}⁠, a product of numbers that are not negative.

    The difference is 0 exactly when P(A)=0P(A) = 0 or P(B)=1P(B) = 1⁠, so the inequality can be an equality. That is why the correct statement has ≥\ge and not >>⁠.
    0≤P(E)≤10 \le P(E) \le 1 for every event. Basics: rules of probability
  4. Examine every option

    Take one throw of a fair die, S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}⁠, with B={1,2,3,4}B = \{1, 2, 3, 4\} and A={1,2}A = \{1, 2\}⁠, so A⊂BA \subset B⁠. Then P(A)=26=13P(A) = \frac26 = \frac13⁠, P(B)=46=23P(B) = \frac46 = \frac23 and

    P(A∣B)=P(A∩B)P(B)=13÷23=12.P(A|B) = \frac{P(A \cap B)}{P(B)} = \frac13 \div \frac23 = \frac12.
    S B A A ∩ B = A
    AA lies inside BB⁠. Given BB⁠, the sample space shrinks from SS to BB⁠; all of AA survives, so its share can only grow. On the die, AA is 13\frac13 of SS but 12\frac12 of BB⁠.
    • (A) P(B)P(A)=2\frac{P(B)}{P(A)} = 2⁠, but P(A∣B)=12P(A|B) = \frac12⁠. In general P(B)P(A)≥1\frac{P(B)}{P(A)} \ge 1 (when P(A)>0P(A) > 0⁠) while a probability is at most 1, so (A) can hold only when P(A)=P(B)P(A) = P(B)⁠, and it means nothing when P(A)=0P(A) = 0⁠. Wrong.
    • (B) 12<13\frac12 < \frac13 is false, and Step 3 shows P(A∣B)<P(A)P(A|B) < P(A) never happens. Wrong.
    • (C) 12≥13\frac12 \ge \frac13 is true, and Step 3 proves it for every pair A⊂BA \subset B⁠. Correct.
    • (D) Since (C) is always correct, "None of these" is wrong.

    The equality case: with B=SB = S⁠, P(B)=1P(B) = 1 and P(A∣S)=P(A)P(A|S) = P(A)⁠, so ">>" would be false there. The sign ≥\ge covers it.

    One example cannot prove (C), but Step 3 does that; the example only shows that (A) and (B) fail. An option that is not always true is not "correct".
    Knowing BB shrinks the sample space to BB⁠. Examples 1 to 7
Result

P(A∣B)=P(A)P(B)≥P(A)P(A|B) = \frac{P(A)}{P(B)} \ge P(A)⁠: option (C). (Textbook answer: (C).)

Check it with numbers

On the die above, P(A)=13≈0.3333P(A) = \frac13 \approx 0.3333 and P(A∣B)=12=0.5P(A|B) = \frac12 = 0.5⁠, so P(A∣B)P(A|B) is the larger. The verify script also lists every pair of events A⊂BA \subset B on a die with BB not empty, 728 pairs in all: (C) holds in every one, (B) in none, and (A) only in the 63 pairs with A=BA = B⁠.

Common mistakes
  1. Choosing (A). The definition divides by P(B)P(B)⁠, the probability of the given event, not by P(A)P(A)⁠.
  2. Writing P(A∩B)=P(B)P(A \cap B) = P(B)⁠. For A⊂BA \subset B the intersection is the smaller event, AA⁠.
  3. Expecting ">" always. When BB is certain (P(B)=1P(B) = 1⁠) knowing it changes nothing, and P(A∣B)=P(A)P(A|B) = P(A)⁠.
  4. Thinking conditioning always lowers a probability. Here it can only raise it or leave it the same.
What to take away
  1. For A⊂BA \subset B⁠: P(A∣B)=P(A)P(B)P(A|B) = \frac{P(A)}{P(B)} and P(B∣A)=1P(B|A) = 1⁠.
  2. Conditioning on an event that contains AA can only raise the probability of AA or leave it unchanged.
  3. When an inequality option is offered, look for the equality case to decide between >> and ≥\ge⁠.

Every fact used, and where it comes from

FactUsed inSource
A⊂BA \subset B gives A∩B=AA \cap B = AStep 1Sets, Class XI (Basics: events as sets)
P(E∣F)=P(E∩F)P(F)P(E|F) = \frac{P(E \cap F)}{P(F)}⁠, P(F)≠0P(F) \neq 0Steps 2, 4Section 13.2, Definition 1 (Lesson: conditional probability)
0≤P(E)≤10 \le P(E) \le 1⁠; P(A)≤P(B)P(A) \le P(B) for A⊂BA \subset BSteps 1, 3Class XI axioms (Basics: rules of probability)
P(E)=n(E)n(S)P(E) = \frac{n(E)}{n(S)} on a fair dieStep 4Classical probability, Class XI (Basics: classical probability)
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