Class 12 Maths, Worked in Full Past papersGet updates
Chapter 13 · Probability

Exercise 13.2 · Q11: Independent A and B: and, and not, or, neither

Exercise 13.2Independent events · Section 13.4
The question

Given two independent events AA and BB such that P(A)=0.3P(A) = 0.3⁠, P(B)=0.6P(B) = 0.6⁠. Find

(i) P(A and B)P(A \text{ and } B)   (ii) P(A and not B)P(A \text{ and not } B)

(iii) P(A or B)P(A \text{ or } B)   (iv) P(neither A nor B)P(\text{neither A nor B})

Exam answer

Here P(A)=0.3=310P(A) = 0.3 = \frac{3}{10} and P(B)=0.6=35P(B) = 0.6 = \frac{3}{5}⁠.

(i) As AA and BB are independent,

P(A∩B)=P(A) P(B)=310×35\begin{aligned} P(A\cap B) &= P(A)\,P(B) \\ &= \frac{3}{10}\times\frac{3}{5} \end{aligned}

P(A and B)=950=0.18P(A \text{ and } B) = \frac{9}{50} = 0.18⁠.

(ii) AA is the union of the disjoint events A∩BA\cap B and A∩B′A\cap B'⁠, so

P(A∩B′)=P(A)−P(A∩B)=310−950=15−950\begin{aligned} P(A\cap B') &= P(A) - P(A\cap B) \\ &= \frac{3}{10} - \frac{9}{50} \\ &= \frac{15 - 9}{50} \end{aligned}

P(A and not B)=325=0.12P(A \text{ and not } B) = \frac{3}{25} = 0.12⁠.

(iii) By the addition rule,

P(A∪B)=P(A)+P(B)−P(A∩B)=310+35−950=15+30−950\begin{aligned} &P(A\cup B) \\ &= P(A) + P(B) - P(A\cap B) \\ &= \frac{3}{10} + \frac{3}{5} - \frac{9}{50} \\ &= \frac{15 + 30 - 9}{50} \end{aligned}

P(A or B)=1825=0.72P(A \text{ or } B) = \frac{18}{25} = 0.72⁠.

(iv)

P(A′∩B′)=P((A∪B)′)[De Morgan]=1−P(A∪B)=1−1825\begin{aligned} &P(A'\cap B') \\ &= P\big((A\cup B)'\big) \quad[\text{De Morgan}] \\ &= 1 - P(A\cup B) \\ &= 1 - \frac{18}{25} \end{aligned}

∴\therefore P(neither A nor B) =725=0.28= \dfrac{7}{25} = 0.28⁠.

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

The one idea this problem is built on

Independence gives the overlap: P(A∩B)=P(A) P(B)P(A\cap B) = P(A)\,P(B)⁠. With the overlap known, the four regions of the Venn diagram follow by subtraction, and each part of the question is one region or a union of regions: "A and not B" is AA without the overlap, "A or B" uses the addition rule, and "neither" is what is left outside A∪BA\cup B⁠.

Given, to find, and the plan
Given
AA⁠, BB independent; P(A)=0.3=310P(A) = 0.3 = \frac{3}{10}⁠, P(B)=0.6=35P(B) = 0.6 = \frac35⁠. We convert the decimals to fractions so that every step is exact.
To find
(i) P(A∩B)P(A\cap B)⁠, (ii) P(A∩B′)P(A\cap B')⁠, (iii) P(A∪B)P(A\cup B)⁠, (iv) P(A′∩B′)P(A'\cap B')⁠.
Plan
(i) Multiply. (ii) Subtract the overlap from P(A)P(A)⁠. (iii) Addition rule. (iv) Complement of the union. Check (ii) and (iv) a second way, by multiplying complements. Give each answer as a fraction and as the decimal the book uses.

Basics you need

1Words as set operations

"And" is ∩\cap⁠, "or" is ∪\cup⁠, "not BB" is B′B'⁠, and "neither A nor B" is A′∩B′A'\cap B'⁠. Basics: events as sets

2Independent events

P(A∩B)=P(A) P(B)P(A\cap B) = P(A)\,P(B) (Definition 3, Section 13.4). If AA and BB are independent, so are AA and B′B'⁠, and A′A' and B′B' (Example 13 and the Note after it). Lesson: independent events

3The addition rule and the four regions

P(A∪B)=P(A)+P(B)−P(A∩B)P(A\cup B) = P(A) + P(B) - P(A\cap B)⁠; two events cut the sample space into four regions whose probabilities add to 1. Basics: Venn diagrams

Part (i): P(A and B)P(A \text{ and } B)

  1. Multiply, because the events are independent

    P(A∩B)=P(A) P(B)=310×35=950=0.18.\begin{aligned} P(A\cap B) &= P(A)\,P(B) \\ &= \frac{3}{10}\times\frac{3}{5} \\ &= \frac{9}{50} = 0.18. \end{aligned}
    "A and B" is the overlap A∩BA\cap B⁠. The question says the events are independent, and that is exactly what allows the product. In decimals this is 0.3×0.6=0.180.3\times 0.6 = 0.18⁠.
    Definition 3, Section 13.4. Lesson: independent events

Part (ii): P(A and not B)P(A \text{ and not } B)

  1. Take the overlap away from AA

    Every outcome of AA is either in BB or not, so A=(A∩B)∪(A∩B′)A = (A\cap B)\cup(A\cap B')⁠, and the two pieces do not overlap. Hence P(A)=P(A∩B)+P(A∩B′)P(A) = P(A\cap B) + P(A\cap B')⁠, and

    P(A∩B′)=P(A)−P(A∩B)=310−950=1550−950=650=325=0.12.\begin{aligned} P(A\cap B') &= P(A) - P(A\cap B) \\ &= \frac{3}{10} - \frac{9}{50} \\ &= \frac{15}{50} - \frac{9}{50} = \frac{6}{50} \\ &= \frac{3}{25} = 0.12. \end{aligned}
    "A and not B" is the part of AA outside BB⁠, the "AA only" region of the Venn diagram. Probabilities of non-overlapping pieces add, so subtracting the overlap leaves this region. This route uses only Part (i), not any further fact about independence.
    Probabilities of mutually exclusive events add (Class XI). Basics: Venn diagrams
  2. Second route: AA and B′B' are independent too

    Because AA and BB are independent, so are AA and B′B' (Example 13). With P(B′)=1−35=25P(B') = 1 - \frac35 = \frac25⁠,

    P(A∩B′)=P(A) P(B′)=310×25=325.\begin{aligned} P(A\cap B') &= P(A)\,P(B') \\ &= \frac{3}{10}\times\frac{2}{5} = \frac{3}{25}. \end{aligned}

    The same answer.

    Example 13 proves exactly this: if EE and FF are independent, so are EE and F′F'⁠. Its proof is the argument of Part (ii), Step 1, written for general events. Two routes agreeing is a good check.
    Example 13, Section 13.4. Lesson: Examples 10 to 14

Part (iii): P(A or B)P(A \text{ or } B)

  1. The addition rule with the overlap from Part (i)

    P(A∪B)=P(A)+P(B)−P(A∩B)=310+35−950=1550+3050−950=3650=1825=0.72.\begin{aligned} &P(A\cup B) \\ &= P(A) + P(B) - P(A\cap B) \\ &= \frac{3}{10} + \frac{3}{5} - \frac{9}{50} \\ &= \frac{15}{50} + \frac{30}{50} - \frac{9}{50} \\ &= \frac{36}{50} = \frac{18}{25} = 0.72. \end{aligned}
    A B S 0.12 0.18 0.42 neither 0.28
    The four regions (not drawn to scale): AA only 0.3−0.18=0.120.3 - 0.18 = 0.12 (Part (ii)), both 0.180.18 (Part (i)), BB only 0.6−0.18=0.420.6 - 0.18 = 0.42⁠, neither 1−0.72=0.281 - 0.72 = 0.28 (Part (iv)). The union is 0.12+0.18+0.42=0.720.12 + 0.18 + 0.42 = 0.72 (Part (iii)).
    Adding P(A)P(A) and P(B)P(B) counts the overlap twice, so it is taken away once. The common denominator of 10, 5 and 50 is 50. The figure shows the same total as the sum of the three regions inside the circles.
    Addition rule (Class XI). Basics: the addition rule

Part (iv): P(neither A nor B)P(\text{neither A nor B})

  1. Neither is the complement of "A or B"

    P(A′∩B′)=P((A∪B)′)=1−P(A∪B)=1−1825=725=0.28.\begin{aligned} P(A'\cap B') &= P\big((A\cup B)'\big) \\ &= 1 - P(A\cup B) \\ &= 1 - \frac{18}{25} = \frac{7}{25} = 0.28. \end{aligned}
    "Neither A nor B" is "not A and not B", that is A′∩B′A'\cap B'⁠. By De Morgan's law this is (A∪B)′(A\cup B)'⁠, everything outside the union, so its probability is 1 minus Part (iii).
    De Morgan's law and P(E′)=1−P(E)P(E') = 1 - P(E)⁠. Basics: Venn diagrams
  2. Second route: multiply the complements

    A′A' and B′B' are independent as well (the Note after Example 13), with P(A′)=710P(A') = \frac{7}{10} and P(B′)=25P(B') = \frac25⁠:

    P(A′∩B′)=P(A′) P(B′)=710×25=725.\begin{aligned} P(A'\cap B') &= P(A')\,P(B') \\ &= \frac{7}{10}\times\frac{2}{5} = \frac{7}{25}. \end{aligned}
    The two routes agree, and the four regions 325+950+2150+725\frac{3}{25} + \frac{9}{50} + \frac{21}{50} + \frac{7}{25} add up to 1, as they must.
    Note after Example 13, Section 13.4. Lesson: Examples 10 to 14
Result

(i) P(A∩B)=950=0.18P(A\cap B) = \frac{9}{50} = 0.18 (ii) P(A∩B′)=325=0.12P(A\cap B') = \frac{3}{25} = 0.12

(iii) P(A∪B)=1825=0.72P(A\cup B) = \frac{18}{25} = 0.72 (iv) P(A′∩B′)=725=0.28P(A'\cap B') = \frac{7}{25} = 0.28

(Textbook answer: (i) 0.18 (ii) 0.12 (iii) 0.72 (iv) 0.28.)

Check it with numbers

Think of 100 equally likely outcomes: 30 in AA⁠, 60 in BB⁠, and 18 in both. Then 12 are in AA but not BB (0.12), 30+60−18=7230 + 60 - 18 = 72 are in A∪BA\cup B (0.72), and 100−72=28100 - 72 = 28 are in neither (0.28). The product routes agree: 0.3×0.4=0.120.3\times 0.4 = 0.12 and 0.7×0.4=0.280.7\times 0.4 = 0.28⁠.

Common mistakes
  1. Forgetting to subtract the overlap in (iii). 0.3+0.6=0.90.3 + 0.6 = 0.9 counts the 0.18 twice.
  2. Using 1−P(A∩B)1 - P(A\cap B) for "neither". That is 0.820.82⁠, the probability of "not both". "Neither" is 1−P(A∪B)1 - P(A\cup B)⁠.
  3. Writing P(A∩B′)=P(A)−P(B)P(A\cap B') = P(A) - P(B)⁠. Subtract the overlap, not the whole of BB⁠: 0.3−0.60.3 - 0.6 would even be negative.
What to take away
  1. For independent events, the overlap is P(A) P(B)P(A)\,P(B)⁠; every other region follows from it.
  2. P(A∩B′)=P(A)−P(A∩B)P(A\cap B') = P(A) - P(A\cap B) holds for any events; for independent ones it also equals P(A) P(B′)P(A)\,P(B')⁠.
  3. "Neither" =(A∪B)′= (A\cup B)'⁠; for independent events P(neither)=P(A′) P(B′)P(\text{neither}) = P(A')\,P(B')⁠.

Every fact used, and where it comes from

FactUsed inSource
Independent: P(A∩B)=P(A) P(B)P(A\cap B) = P(A)\,P(B)Part (i)Definition 3, Section 13.4 (Lesson: independent events)
A=(A∩B)∪(A∩B′)A = (A\cap B)\cup(A\cap B')⁠, disjointPart (ii)Class XI, Sets and Probability; used in Example 13
EE⁠, FF independent gives EE⁠, F′F' independentPart (ii)Example 13, Section 13.4
P(A∪B)=P(A)+P(B)−P(A∩B)P(A\cup B) = P(A) + P(B) - P(A\cap B)Part (iii)Addition rule, Class XI (recalled in Section 13.1)
De Morgan's law A′∩B′=(A∪B)′A'\cap B' = (A\cup B)'Part (iv)Class XI, Sets
E′E' and F′F' independentPart (iv)Note after Example 13, Section 13.4
Found an error, or want more?

Tell us if something on this page is wrong or unclear, or if you would like a fuller explanation, another method or a new feature. Send feedback on this problem →