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Chapter 13 · Probability

Exercise 13.1 · Q4: P(A∪B)P(A \cup B) when 2P(A)=P(B)=5132P(A) = P(B) = \frac{5}{13}

Exercise 13.1Conditional probability · Section 13.2
The question

Evaluate P(A∪B)P(A\cup B)⁠, if 2P(A)=P(B)=5132P(A) = P(B) = \dfrac{5}{13} and P(A∣B)=25P(A|B) = \dfrac{2}{5}

Exam answer

Given 2P(A)=P(B)=5132P(A) = P(B) = \frac{5}{13}⁠, so P(A)=526P(A) = \frac{5}{26} and P(B)=513P(B) = \frac{5}{13}⁠.

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

P(A∩B)=P(B) P(A∣B)=513×25=213\begin{aligned} P(A\cap B) &= P(B)\,P(A|B) \\ &= \frac{5}{13}\times\frac{2}{5} = \frac{2}{13} \end{aligned}

By the addition rule,

P(A∪B)=P(A)+P(B)−P(A∩B)=526+513−213=5+10−426\begin{aligned} &P(A\cup B) \\ &= P(A) + P(B) - P(A\cap B) \\ &= \frac{5}{26} + \frac{5}{13} - \frac{2}{13} \\ &= \frac{5 + 10 - 4}{26} \end{aligned}

∴ P(A∪B)=1126\therefore\ P(A\cup B) = \dfrac{11}{26}⁠.

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

The one idea this problem is built on

The addition rule needs three numbers: P(A)P(A)⁠, P(B)P(B) and the overlap P(A∩B)P(A\cap B)⁠. The question hides two of them. P(A)P(A) comes from reading the double equation 2P(A)=P(B)=5132P(A) = P(B) = \frac{5}{13} correctly, and the overlap comes from the conditional probability, since P(A∣B)=P(A∩B)P(B)P(A|B) = \frac{P(A\cap B)}{P(B)} gives P(A∩B)=P(B) P(A∣B)P(A\cap B) = P(B)\,P(A|B)⁠.

Given, to find, and the plan
Given
2P(A)=P(B)=5132P(A) = P(B) = \frac{5}{13} and P(A∣B)=25P(A|B) = \frac25⁠.
To find
P(A∪B)P(A\cup B)⁠.
Plan
(1) Read off P(B)P(B) and P(A)P(A)⁠. (2) Get the overlap from the definition of P(A∣B)P(A|B)⁠. (3) Check the numbers fit. (4) Use the addition rule.

Basics you need

1A chain of equalities

x=y=cx = y = c means both x=cx = c and y=cy = c⁠. Here xx is 2P(A)2P(A)⁠, so P(A)P(A) is half of cc⁠. Basics: working with fractions

2Conditional probability

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

3The addition rule

P(A∪B)=P(A)+P(B)−P(A∩B)P(A\cup B) = P(A) + P(B) - P(A\cap B) (Class XI). Basics: add, but do not count the overlap twice

Solution

  1. Read P(A)P(A) and P(B)P(B) from the double equation

    2P(A)=P(B)=5132P(A) = P(B) = \frac{5}{13} says two things: P(B)=513P(B) = \frac{5}{13}⁠, and 2P(A)=5132P(A) = \frac{5}{13}⁠. Halving the second,

    P(A)=513×12=526.P(A) = \frac{5}{13}\times\frac{1}{2} = \frac{5}{26}.
    The middle term P(B)P(B) equals the right-hand number directly. The left term is twice P(A)P(A)⁠, not P(A)P(A)⁠, so we divide by 2. So AA is half as likely as BB⁠.
    Dividing a fraction by 2 doubles its denominator. Basics: working with fractions
  2. Find the overlap from P(A∣B)P(A|B)

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

    Multiply both sides by P(B)P(B)⁠:

    P(A∩B)=P(B) P(A∣B)=513×25=213.\begin{aligned} P(A\cap B) &= P(B)\,P(A|B) \\ &= \frac{5}{13}\times\frac{2}{5} = \frac{2}{13}. \end{aligned}
    The definition links P(A∣B)P(A|B)⁠, P(A∩B)P(A\cap B) and P(B)P(B)⁠. Two are known, so the third follows. P(B)=513≠0P(B) = \frac{5}{13} \ne 0⁠, so the definition applies. The 5s cancel.
    Definition 1, Section 13.2, rearranged. Lesson: conditional probability
  3. Check that the numbers fit

    In twenty-sixths: P(A)=526P(A) = \frac{5}{26}⁠, P(B)=1026P(B) = \frac{10}{26}⁠, P(A∩B)=213=426P(A\cap B) = \frac{2}{13} = \frac{4}{26}⁠. The overlap is at most each event: 426≤526\frac{4}{26} \le \frac{5}{26} and 426≤1026\frac{4}{26} \le \frac{10}{26}⁠.

    A∩BA\cap B lies inside AA⁠, so its probability cannot exceed P(A)P(A)⁠. This also tells us the "AA only" region has 526−426=126\frac{5}{26} - \frac{4}{26} = \frac{1}{26}⁠, a small but positive amount, so such events can exist.
    Two events cut SS into four regions. Basics: two events cut S into four regions
  4. Apply the addition rule

    P(A∪B)=P(A)+P(B)−P(A∩B)=526+513−213=526+1026−426=1126.\begin{aligned} &P(A\cup B) \\ &= P(A) + P(B) - P(A\cap B) \\ &= \frac{5}{26} + \frac{5}{13} - \frac{2}{13} \\ &= \frac{5}{26} + \frac{10}{26} - \frac{4}{26} = \frac{11}{26}. \end{aligned}
    Adding P(A)P(A) and P(B)P(B) counts the overlap twice, so we subtract it once. The common denominator of 26 and 13 is 26.
    S A B A only 1/26 A ∩ B 4/26 B only 6/26 outside both: 15/26
    All four regions in twenty-sixths: AA only 126\frac{1}{26}⁠, both 426\frac{4}{26}⁠, BB only 1026−426=626\frac{10}{26} - \frac{4}{26} = \frac{6}{26}⁠, outside both 1526\frac{15}{26}⁠. The union is 126+426+626=1126\frac{1}{26} + \frac{4}{26} + \frac{6}{26} = \frac{11}{26}⁠.
Result

P(A∪B)=1126P(A\cup B) = \dfrac{11}{26}⁠.

(Textbook answer: 1126\frac{11}{26}⁠.)

Check it with numbers

Picture 26 equally likely tickets: 1 in AA only, 4 in both, 6 in BB only, 15 in neither. Then P(B)=1026=513P(B) = \frac{10}{26} = \frac{5}{13}⁠, P(A)=526P(A) = \frac{5}{26} (so 2P(A)=5132P(A) = \frac{5}{13}⁠), and of the 10 tickets in BB⁠, 4 are in AA⁠: P(A∣B)=410=0.4=25P(A|B) = \frac{4}{10} = 0.4 = \frac25⁠. These are the given numbers.

The union has 1+4+6=111 + 4 + 6 = 11 tickets, so P(A∪B)=1126≈0.4231P(A\cup B) = \frac{11}{26} \approx 0.4231⁠.

Common mistakes
  1. Taking P(A)=513P(A) = \frac{5}{13}⁠. The question gives 2P(A)2P(A)⁠, so P(A)=526P(A) = \frac{5}{26}⁠.
  2. Using P(A)P(A) to get the overlap. The bar in P(A∣B)P(A|B) puts P(B)P(B) in the denominator, so the overlap is P(B) P(A∣B)P(B)\,P(A|B)⁠, not P(A) P(A∣B)P(A)\,P(A|B)⁠.
  3. Forgetting to subtract the overlap. 526+1026=1526\frac{5}{26} + \frac{10}{26} = \frac{15}{26} counts the overlap twice.
What to take away
  1. P(A∩B)=P(B) P(A∣B)P(A\cap B) = P(B)\,P(A|B)⁠: a conditional probability times the probability of the given event gives the overlap.
  2. Read every equation in the data carefully: 2P(A)=c2P(A) = c means P(A)=c2P(A) = \frac{c}{2}⁠.

Every fact used, and where it comes from

FactUsed inSource
P(A∣B)=P(A∩B)P(B)P(A|B) = \frac{P(A\cap B)}{P(B)}⁠, P(B)≠0P(B) \ne 0Step 2Definition 1, Section 13.2 (Lesson: conditional probability)
P(A∩B)≤P(A)P(A\cap B) \le P(A) and ≤P(B)\le P(B)Step 3Class XI, Probability (Basics: two events cut S into four regions)
P(A∪B)=P(A)+P(B)−P(A∩B)P(A\cup B) = P(A) + P(B) - P(A\cap B)Step 4Addition rule, Class XI (Basics: the addition rule)
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