Exercise 13.2 · Q11: Independent A and B: and, and not, or, neither
Given two independent events and such that , . Find
(i) (ii)
(iii) (iv)
Here and .
(i) As and are independent,
.
(ii) is the union of the disjoint events and , so
.
(iii) By the addition rule,
.
(iv)
P(neither A nor B) .
Want the reason behind every step, the basics and the checks?
Independence gives the overlap: . 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 without the overlap, "A or B" uses the addition rule, and "neither" is what is left outside .
- Given
- , independent; , . We convert the decimals to fractions so that every step is exact.
- To find
- (i) , (ii) , (iii) , (iv) .
- Plan
- (i) Multiply. (ii) Subtract the overlap from . (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
"And" is , "or" is , "not " is , and "neither A nor B" is . Basics: events as sets
(Definition 3, Section 13.4). If and are independent, so are and , and and (Example 13 and the Note after it). Lesson: independent events
; two events cut the sample space into four regions whose probabilities add to 1. Basics: Venn diagrams
Part (i):
Multiply, because the events are independent
"A and B" is the overlap . The question says the events are independent, and that is exactly what allows the product. In decimals this is .Definition 3, Section 13.4. Lesson: independent events
Part (ii):
Take the overlap away from
Every outcome of is either in or not, so , and the two pieces do not overlap. Hence , and
"A and not B" is the part of outside , the " 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 diagramsSecond route: and are independent too
Because and are independent, so are and (Example 13). With ,
The same answer.
Example 13 proves exactly this: if and are independent, so are and . 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):
The addition rule with the overlap from Part (i)
The four regions (not drawn to scale): only (Part (ii)), both (Part (i)), only , neither (Part (iv)). The union is (Part (iii)). Adding and 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):
Neither is the complement of "A or B"
"Neither A nor B" is "not A and not B", that is . By De Morgan's law this is , everything outside the union, so its probability is 1 minus Part (iii).De Morgan's law and . Basics: Venn diagramsSecond route: multiply the complements
and are independent as well (the Note after Example 13), with and :
The two routes agree, and the four regions add up to 1, as they must.Note after Example 13, Section 13.4. Lesson: Examples 10 to 14
(i) (ii)
(iii) (iv)
(Textbook answer: (i) 0.18 (ii) 0.12 (iii) 0.72 (iv) 0.28.)
Think of 100 equally likely outcomes: 30 in , 60 in , and 18 in both. Then 12 are in but not (0.12), are in (0.72), and are in neither (0.28). The product routes agree: and .
- Forgetting to subtract the overlap in (iii). counts the 0.18 twice.
- Using for "neither". That is , the probability of "not both". "Neither" is .
- Writing . Subtract the overlap, not the whole of : would even be negative.
- For independent events, the overlap is ; every other region follows from it.
- holds for any events; for independent ones it also equals .
- "Neither" ; for independent events .
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| Independent: | Part (i) | Definition 3, Section 13.4 (Lesson: independent events) |
| , disjoint | Part (ii) | Class XI, Sets and Probability; used in Example 13 |
| , independent gives , independent | Part (ii) | Example 13, Section 13.4 |
| Part (iii) | Addition rule, Class XI (recalled in Section 13.1) | |
| De Morgan's law | Part (iv) | Class XI, Sets |
| and independent | Part (iv) | Note after Example 13, Section 13.4 |
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