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Chapter 13 · Probability

Exercise 13.2 · Q7: Find p: mutually exclusive, then independent

Exercise 13.2Independent and mutually exclusive events · Section 13.4
The question

Given that the events AA and BB are such that P(A)=12P(A) = \frac{1}{2}⁠, P(A∪B)=35P(A\cup B) = \frac{3}{5} and P(B)=pP(B) = p⁠. Find pp if they are (i) mutually exclusive (ii) independent.

Exam answer

By the addition rule, P(A∪B)P(A\cup B) =P(A)+P(B)−P(A∩B)= P(A) + P(B) - P(A\cap B)⁠.

(i) AA and BB are mutually exclusive, so P(A∩B)=0P(A\cap B) = 0⁠.

35=12+pp=35−12\begin{aligned} \frac{3}{5} &= \frac{1}{2} + p \\ p &= \frac{3}{5} - \frac{1}{2} \end{aligned}

p=110p = \frac{1}{10}⁠.

(ii) AA and BB are independent, so

P(A∩B)=P(A) P(B)=p2P(A\cap B) = P(A)\,P(B) = \frac{p}{2} 35=12+p−p235−12=p2110=p2\begin{aligned} \frac{3}{5} &= \frac{1}{2} + p - \frac{p}{2} \\ \frac{3}{5} - \frac{1}{2} &= \frac{p}{2} \\ \frac{1}{10} &= \frac{p}{2} \end{aligned}

∴ p=15\therefore\ p = \dfrac{1}{5}⁠.

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

The one idea this problem is built on

The addition rule P(A∪B)=P(A)+P(B)−P(A∩B)P(A\cup B) = P(A) + P(B) - P(A\cap B) links the given numbers to pp⁠, but it contains a fourth quantity, P(A∩B)P(A\cap B)⁠. Each condition tells us what P(A∩B)P(A\cap B) is: mutually exclusive means P(A∩B)=0P(A\cap B) = 0⁠; independent means P(A∩B)=P(A) P(B)P(A\cap B) = P(A)\,P(B)⁠. The two conditions give two different values of pp⁠, which shows they are different ideas.

Given, to find, and the plan
Given
P(A)=12P(A) = \frac12⁠, P(A∪B)=35P(A\cup B) = \frac35⁠, P(B)=pP(B) = p⁠.
To find
pp when (i) AA⁠, BB are mutually exclusive; (ii) AA⁠, BB are independent.
Plan
In each part: (1) write P(A∩B)P(A\cap B) from the condition; (2) put it into the addition rule; (3) solve the linear equation for pp⁠; (4) check by substituting back.

Basics you need

1The addition rule

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

2Mutually exclusive events

A∩B=ϕA\cap B = \phi⁠: they cannot happen together, so P(A∩B)=0P(A\cap B) = 0⁠. Basics: Venn diagrams

3Independent events

P(A∩B)=P(A) P(B)P(A\cap B) = P(A)\,P(B) (Definition 3, Section 13.4). Remarks (ii) explains that this is a different idea from mutually exclusive. Lesson: independent events

Part (i): AA and BB mutually exclusive

  1. What "mutually exclusive" gives

    Mutually exclusive means A∩B=ϕA\cap B = \phi⁠, so P(A∩B)=0P(A\cap B) = 0⁠, and the addition rule becomes

    P(A∪B)=P(A)+P(B).P(A\cup B) = P(A) + P(B).
    With no overlap there is nothing counted twice, so the correction term P(A∩B)P(A\cap B) is zero and "or" is just a sum.
    Addition rule for mutually exclusive events (Class XI). Basics: the addition rule
  2. Substitute and solve for pp

    35=12+pp=35−12=6−510=110.\begin{aligned} \frac{3}{5} &= \frac{1}{2} + p \\ p &= \frac{3}{5} - \frac{1}{2} \\ &= \frac{6 - 5}{10} = \frac{1}{10}. \end{aligned}
    Subtract 12\frac12 from both sides. The common denominator of 5 and 2 is 10: 35=610\frac35 = \frac{6}{10} and 12=510\frac12 = \frac{5}{10}⁠.
    The addition rule of Part (i), Step 1, with P(A)=12P(A) = \frac12⁠, P(B)=pP(B) = p and P(A∪B)=35P(A\cup B) = \frac35 put in. Basics: the addition rule
  3. Check

    P(A)+P(B)=12+110=610=35=P(A∪B)P(A) + P(B) = \frac12 + \frac{1}{10} = \frac{6}{10} = \frac35 = P(A\cup B)⁠. Also p=110p = \frac{1}{10} is between 0 and 1, and P(A)+P(B)=35≤1P(A) + P(B) = \frac35 \le 1⁠, as it must be for two events that cannot overlap.

    Substituting back confirms the arithmetic, and the range check confirms such events can exist.
    Every probability lies between 0 and 1 (Class XI). Basics: Venn diagrams

Part (ii): AA and BB independent

  1. What "independent" gives

    P(A∩B)=P(A) P(B)=12 p=p2.\begin{aligned} P(A\cap B) &= P(A)\,P(B) \\ &= \frac{1}{2}\,p = \frac{p}{2}. \end{aligned}
    Independence turns the unknown overlap into a product of known quantities, so the addition rule again has only one unknown, pp⁠.
    Definition 3, Section 13.4. Lesson: independent events
  2. Substitute into the addition rule and solve

    Put P(A∪B)=35P(A\cup B) = \frac35⁠, P(A)=12P(A) = \frac12⁠, P(B)=pP(B) = p and P(A∩B)=p2P(A\cap B) = \frac{p}{2} into P(A∪B)P(A\cup B) =P(A)+P(B)−P(A∩B)= P(A) + P(B) - P(A\cap B)⁠:

    35=12+p−p235=12+p2p2=35−12=110p=210=15.\begin{aligned} \frac{3}{5} &= \frac{1}{2} + p - \frac{p}{2} \\ \frac{3}{5} &= \frac{1}{2} + \frac{p}{2} \\ \frac{p}{2} &= \frac{3}{5} - \frac{1}{2} = \frac{1}{10} \\ p &= \frac{2}{10} = \frac{1}{5}. \end{aligned}
    Collect the pp terms: p−p2=p2p - \frac{p}{2} = \frac{p}{2}⁠. Then subtract 12\frac12 and multiply both sides by 2.
    Addition rule (Class XI), with the overlap from Part (ii), Step 1. Basics: the addition rule
  3. Check

    With p=15p = \frac15⁠: P(A∩B)=12×15=110P(A\cap B) = \frac12\times\frac15 = \frac{1}{10}⁠, and

    P(A∪B)=12+15−110=5+2−110=610=35.  ✓\begin{aligned} P(A\cup B) &= \frac{1}{2} + \frac{1}{5} - \frac{1}{10} \\ &= \frac{5 + 2 - 1}{10} = \frac{6}{10} = \frac{3}{5}.\;\checkmark \end{aligned}
    1/2 1/10 A B neither 2/5 (i) mutually exclusive no overlap: P(A ∩ B) = 0 2/5 1/10 1/10 A B neither 2/5 (ii) independent P(A ∩ B) = P(A) P(B) = 1/10
    Both pictures have P(A)=12P(A) = \frac12 and P(A∪B)=35P(A\cup B) = \frac35 (not drawn to scale). (i) With no overlap, BB needs only 110\frac{1}{10}⁠. (ii) With an overlap of 110\frac{1}{10} shared with AA⁠, BB must be 110+110=15\frac{1}{10} + \frac{1}{10} = \frac15⁠.
    The overlap equals P(A) P(B)P(A)\,P(B)⁠, so the events really are independent with this pp⁠, and the union comes out as given.
    Mutually exclusive and independent are different (Remarks (ii), Section 13.4). Basics: Venn diagrams
Result

(i) Mutually exclusive: p=110p = \frac{1}{10}⁠. (ii) Independent: p=15p = \frac{1}{5}⁠.

(Textbook answer: (i) p=110p = \frac{1}{10} (ii) p=15p = \frac15⁠.)

Check it with numbers

(i) 0.5+0.1=0.6=350.5 + 0.1 = 0.6 = \frac35⁠. (ii) 0.5+0.2−0.5×0.20.5 + 0.2 - 0.5\times 0.2 =0.5+0.2−0.1=0.6= 0.5 + 0.2 - 0.1 = 0.6⁠, which is 35\frac35⁠. Both values of pp reproduce P(A∪B)=0.6P(A\cup B) = 0.6 under their own condition.

Common mistakes
  1. Using the same rule in both parts. Mutually exclusive: P(A∩B)=0P(A\cap B) = 0⁠. Independent: P(A∩B)=P(A) P(B)P(A\cap B) = P(A)\,P(B)⁠. Swapping them gives the wrong pp⁠.
  2. Dropping the overlap in part (ii). Writing 35=12+p\frac35 = \frac12 + p again in (ii) ignores P(A∩B)=p2P(A\cap B) = \frac{p}{2}⁠.
  3. Sign slip when collecting terms. p−p2=p2p - \frac{p}{2} = \frac{p}{2}⁠, not 3p2\frac{3p}{2}⁠.
What to take away
  1. The addition rule always holds; the condition on the events decides the overlap term.
  2. Mutually exclusive: overlap 00⁠. Independent: overlap P(A) P(B)P(A)\,P(B)⁠.
  3. Events with non-zero probabilities cannot be both mutually exclusive and independent, which is why the two answers differ.

Every fact used, and where it comes from

FactUsed inSource
P(A∪B)=P(A)+P(B)−P(A∩B)P(A\cup B) = P(A) + P(B) - P(A\cap B)Part (i), Steps 1, 2; Part (ii), Step 2Addition rule, Class XI (recalled in Section 13.1)
Mutually exclusive: A∩B=ϕA\cap B = \phi⁠, P(A∩B)=0P(A\cap B) = 0Part (i), Step 1Class XI, Probability
Independent: P(A∩B)=P(A) P(B)P(A\cap B) = P(A)\,P(B)Part (ii), Steps 1, 3Definition 3, Section 13.4 (Lesson: independent events)
Independent and mutually exclusive are differentPart (ii), Step 3; take-away 3Remarks (ii), Section 13.4
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