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Chapter 13 · Probability

Exercise 13.2 · Q14: A and B solve a problem independently

Exercise 13.2Independent events · Section 13.4
The question

Probability of solving specific problem independently by A and B are 12\frac{1}{2} and 13\frac{1}{3} respectively. If both try to solve the problem independently, find the probability that

(i) the problem is solved   (ii) exactly one of them solves the problem.

Exam answer

Let EE⁠: A solves the problem, and FF⁠: B solves the problem.

P(E)=12P(E) = \frac{1}{2} and P(F)=13P(F) = \frac{1}{3}⁠, so

P(E′)=1−12=12P(E') = 1 - \frac{1}{2} = \frac{1}{2} P(F′)=1−13=23P(F') = 1 - \frac{1}{3} = \frac{2}{3}

Since EE and FF are independent, so are EE and F′F'⁠, E′E' and FF⁠, and E′E' and F′F'⁠.

(i) The problem is not solved only when neither solves it.

P(problem solved)=1−P(E′∩F′)=1−P(E′) P(F′)=1−12×23\begin{aligned} &P(\text{problem solved}) \\ &= 1 - P(E'\cap F') \\ &= 1 - P(E')\,P(F') \\ &= 1 - \frac{1}{2}\times\frac{2}{3} \end{aligned}

P(problem solved) =23= \frac{2}{3}⁠.

(ii) Exactly one solves it means E∩F′E\cap F' or E′∩FE'\cap F⁠, which are mutually exclusive.

P(exactly one)=P(E∩F′)+P(E′∩F)=P(E) P(F′)+P(E′) P(F)=12×23+12×13=13+16\begin{aligned} &P(\text{exactly one}) \\ &= P(E\cap F') + P(E'\cap F) \\ &= P(E)\,P(F') + P(E')\,P(F) \\ &= \frac{1}{2}\times\frac{2}{3} + \frac{1}{2}\times\frac{1}{3} \\ &= \frac{1}{3} + \frac{1}{6} \end{aligned}

∴\therefore P(exactly one solves it) =12= \dfrac{1}{2}⁠.

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

The one idea this problem is built on

"The problem is solved" means at least one of A and B solves it. Its complement is a single case, neither solves it, whose probability is a product because the two work independently. "Exactly one" is two separate cases (A but not B, or B but not A); each is a product, and the two cases are added.

Given, to find, and the plan
Given
A solves the problem with probability 12\frac12⁠, B with probability 13\frac13⁠, and they work independently.
To find
(i) P(the problem is solved), (ii) P(exactly one of them solves it).
Plan
(1) Name the events EE (A solves) and FF (B solves), with their complements. (2) Part (i) by the complement of "neither", checked by the addition rule. (3) Part (ii) as two exclusive cases. (4) Check with a grid of 6 equally likely cells.

Basics you need

1Independent events and their complements

P(E∩F)=P(E) P(F)P(E\cap F) = P(E)\,P(F) (Definition 3, Section 13.4). If EE and FF are independent, so are EE and F′F'⁠, E′E' and FF⁠, and E′E' and F′F' (Example 13 and the Note after it). Lesson: independent events

2"At least one" through its complement

P(E∪F)=1−P(E′∩F′)P(E\cup F) = 1 - P(E'\cap F')⁠; for independent events this is 1−P(E′) P(F′)1 - P(E')\,P(F') (Example 14). Lesson: Examples 10 to 14

3The addition rule and exclusive cases

P(E∪F)=P(E)+P(F)−P(E∩F)P(E\cup F) = P(E) + P(F) - P(E\cap F)⁠; for cases that cannot happen together, probabilities simply add. Basics: the addition rule

4Two events cut the sample space into four regions

Both, EE only, FF only, neither. "Exactly one" is the two middle regions. Basics: Venn diagrams

Part (i): the problem is solved

  1. Name the events

    Let EE be the event "A solves the problem" and FF the event "B solves the problem". Then

    P(E)=12,P(E′)=1−12=12,P(F)=13,P(F′)=1−13=23.\begin{aligned} P(E) &= \frac{1}{2}, & P(E') &= 1 - \frac{1}{2} = \frac{1}{2}, \\ P(F) &= \frac{1}{3}, & P(F') &= 1 - \frac{1}{3} = \frac{2}{3}. \end{aligned}

    EE and FF are independent, because A and B work independently.

    The complements E′E' ("A fails") and F′F' ("B fails") will be needed in both parts, so we find them now with P(E′)=1−P(E)P(E') = 1 - P(E)⁠.
    P(E′)=1−P(E)P(E') = 1 - P(E)⁠. Basics: events as sets
  2. Use the complement of "neither solves it"

    The problem is solved when at least one of them solves it, the event E∪FE\cup F⁠. It is not solved only when both fail, the event E′∩F′E'\cap F'⁠. Since E′E' and F′F' are independent,

    P(E∪F)=1−P(E′∩F′)=1−P(E′) P(F′)=1−12×23=1−13=23.\begin{aligned} P(E\cup F) &= 1 - P(E'\cap F') \\ &= 1 - P(E')\,P(F') \\ &= 1 - \frac{1}{2}\times\frac{2}{3} \\ &= 1 - \frac{1}{3} = \frac{2}{3}. \end{aligned}
    "At least one solves it" has three cases (A only, B only, both); its complement "neither" is one case, and for independent events it is a product. The Note after Example 13 is what allows P(E′∩F′)=P(E′) P(F′)P(E'\cap F') = P(E')\,P(F')⁠; Example 14 is exactly this formula.
    Example 14 and the Note after Example 13, Section 13.4. Lesson: Examples 10 to 14
  3. Second route: the addition rule

    P(E∪F)=P(E)+P(F)−P(E) P(F)=12+13−16=3+2−16=23.\begin{aligned} &P(E\cup F) \\ &= P(E) + P(F) - P(E)\,P(F) \\ &= \frac{1}{2} + \frac{1}{3} - \frac{1}{6} \\ &= \frac{3 + 2 - 1}{6} = \frac{2}{3}. \end{aligned}
    This route uses only the independence of EE and FF themselves: P(E∩F)=12×13=16P(E\cap F) = \frac12\times\frac13 = \frac16⁠. Getting 23\frac23 twice confirms the answer.
    Addition rule (Class XI) and Definition 3, Section 13.4. Basics: the addition rule

Part (ii): exactly one of them solves it

  1. Split into the two cases

    Exactly one solves it when A solves and B fails (E∩F′E\cap F'⁠), or B solves and A fails (E′∩FE'\cap F⁠). These cannot both happen, so

    P(exactly one)=P(E∩F′)+P(E′∩F).\begin{aligned} &P(\text{exactly one}) \\ &\quad = P(E\cap F') + P(E'\cap F). \end{aligned}
    In the first case A solves it and in the second A does not, so no outcome is in both cases. Probabilities of mutually exclusive events add.
    Mutually exclusive events: probabilities add. Basics: Venn diagrams
  2. Each case is a product

    P(E∩F′)=P(E) P(F′)=12×23=13,P(E′∩F)=P(E′) P(F)=12×13=16.\begin{aligned} P(E\cap F') &= P(E)\,P(F') \\ &= \frac{1}{2}\times\frac{2}{3} = \frac{1}{3}, \\ P(E'\cap F) &= P(E')\,P(F) \\ &= \frac{1}{2}\times\frac{1}{3} = \frac{1}{6}. \end{aligned}

    So

    P(exactly one)=13+16=2+16=12.\begin{aligned} P(\text{exactly one}) &= \frac{1}{3} + \frac{1}{6} \\ &= \frac{2 + 1}{6} = \frac{1}{2}. \end{aligned}
    B solves B fails B fails A solves A fails both A only A only B only neither neither each cell: 1/6 solved (all but neither): 4 cells, 2/3 exactly one (gold): 3 cells, 1/2
    Six equally likely cells: the row decides A (probability 12\frac12 each way) and the column decides B (one column of three for "B solves", so 13\frac13⁠). The problem is solved in every cell except "neither": 46=23\frac46 = \frac23⁠. Exactly one solves it in the three gold cells: 36=12\frac36 = \frac12⁠.
    EE and F′F' are independent (Example 13), and so are E′E' and FF (the Note after it), which allows each product. The grid shows the same split: "A only" is 2 cells and "B only" is 1 cell out of 6.
    Example 13 and the Note after it, Section 13.4. Lesson: independent events
  3. Check: "solved" minus "both"

    "Exactly one" is "at least one" without "both":

    P(E∪F)−P(E∩F)=23−16=4−16=12.\begin{aligned} P(E\cup F) - P(E\cap F) &= \frac{2}{3} - \frac{1}{6} \\ &= \frac{4 - 1}{6} = \frac{1}{2}. \end{aligned}
    The event "both solve it" lies inside "at least one solves it"; removing it leaves exactly the two cases of Part (ii), Step 1. The same 12\frac12 again.
    Two events cut SS into four regions. Basics: Venn diagrams
Result

(i) P(the problem is solved) =23= \frac23 (ii) P(exactly one solves it) =12= \frac12

(Textbook answer: (i) 23\frac23⁠, (ii) 12\frac12⁠.)

Check it with numbers

In decimals: P(E)=0.5P(E) = 0.5⁠, P(F)≈0.3333P(F) \approx 0.3333 and P(E∩F)≈0.1667P(E\cap F) \approx 0.1667⁠, so P(E∪F)≈0.6667P(E\cup F) \approx 0.6667⁠, which is 23\frac23⁠. Exactly one: P(E∩F′)≈0.3333P(E\cap F') \approx 0.3333 and P(E′∩F)≈0.1667P(E'\cap F) \approx 0.1667⁠, and 0.3333+0.1667=0.50.3333 + 0.1667 = 0.5⁠. The four regions add to 1: 16+13+16+13=1\frac16 + \frac13 + \frac16 + \frac13 = 1 (both, A only, B only, neither).

Common mistakes
  1. Adding 12+13=56\frac12 + \frac13 = \frac56 for (i). That counts "both solve it" twice; subtract 16\frac16 once.
  2. Answering 16\frac16 for (i). That is the probability that both solve it. One solver is enough for the problem to be solved.
  3. Leaving out one case in (ii). 13\frac13 alone is "A only"; "B only" (16\frac16⁠) must be added.
What to take away
  1. For independent events, P(at least one)=1−P(E′) P(F′)P(\text{at least one}) = 1 - P(E')\,P(F')⁠.
  2. For independent events, P(exactly one)P(\text{exactly one}) =P(E) P(F′)+P(E′) P(F)= P(E)\,P(F') + P(E')\,P(F)⁠.
  3. "At least one" includes "both"; "exactly one" does not.

Every fact used, and where it comes from

FactUsed inSource
P(E′)=1−P(E)P(E') = 1 - P(E)Part (i), Step 1Class XI, Probability
Independent: P(E∩F)=P(E) P(F)P(E\cap F) = P(E)\,P(F)Part (i), Step 3Definition 3, Section 13.4 (Lesson: independent events)
EE⁠, F′F' and E′E'⁠, FF and E′E'⁠, F′F' independentPart (i), Step 2; Part (ii), Step 2Example 13 and the Note after it, Section 13.4
P(at least one)=1−P(A′) P(B′)P(\text{at least one}) = 1 - P(A')\,P(B')Part (i), Step 2Example 14, Section 13.4
P(E∪F)=P(E)+P(F)−P(E∩F)P(E\cup F) = P(E) + P(F) - P(E\cap F)Part (i), Step 3Addition rule, Class XI (recalled in Section 13.1)
Mutually exclusive events: probabilities addPart (ii), Step 1Class XI, Probability
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