Exercise 13.2 · Q7: Find p: mutually exclusive, then independent
Given that the events and are such that , and . Find if they are (i) mutually exclusive (ii) independent.
By the addition rule, .
(i) and are mutually exclusive, so .
.
(ii) and are independent, so
.
Want the reason behind every step, the basics and the checks?
The addition rule links the given numbers to , but it contains a fourth quantity, . Each condition tells us what is: mutually exclusive means ; independent means . The two conditions give two different values of , which shows they are different ideas.
- Given
- , , .
- To find
- when (i) , are mutually exclusive; (ii) , are independent.
- Plan
- In each part: (1) write from the condition; (2) put it into the addition rule; (3) solve the linear equation for ; (4) check by substituting back.
Basics you need
: add, but do not count the overlap twice (Class XI). Basics: the addition rule
: they cannot happen together, so . Basics: Venn diagrams
(Definition 3, Section 13.4). Remarks (ii) explains that this is a different idea from mutually exclusive. Lesson: independent events
Part (i): and mutually exclusive
What "mutually exclusive" gives
Mutually exclusive means , so , and the addition rule becomes
With no overlap there is nothing counted twice, so the correction term is zero and "or" is just a sum.Addition rule for mutually exclusive events (Class XI). Basics: the addition ruleSubstitute and solve for
Subtract from both sides. The common denominator of 5 and 2 is 10: and .Check
. Also is between 0 and 1, and , 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): and independent
What "independent" gives
Independence turns the unknown overlap into a product of known quantities, so the addition rule again has only one unknown, .Definition 3, Section 13.4. Lesson: independent eventsSubstitute into the addition rule and solve
Put , , and into :
Collect the terms: . Then subtract and multiply both sides by 2.Addition rule (Class XI), with the overlap from Part (ii), Step 1. Basics: the addition ruleCheck
With : , and
Both pictures have and (not drawn to scale). (i) With no overlap, needs only . (ii) With an overlap of shared with , must be . The overlap equals , so the events really are independent with this , and the union comes out as given.Mutually exclusive and independent are different (Remarks (ii), Section 13.4). Basics: Venn diagrams
(i) Mutually exclusive: . (ii) Independent: .
(Textbook answer: (i) (ii) .)
(i) . (ii) , which is . Both values of reproduce under their own condition.
- Using the same rule in both parts. Mutually exclusive: . Independent: . Swapping them gives the wrong .
- Dropping the overlap in part (ii). Writing again in (ii) ignores .
- Sign slip when collecting terms. , not .
- The addition rule always holds; the condition on the events decides the overlap term.
- Mutually exclusive: overlap . Independent: overlap .
- 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
| Fact | Used in | Source |
|---|---|---|
| Part (i), Steps 1, 2; Part (ii), Step 2 | Addition rule, Class XI (recalled in Section 13.1) | |
| Mutually exclusive: , | Part (i), Step 1 | Class XI, Probability |
| Independent: | Part (ii), Steps 1, 3 | Definition 3, Section 13.4 (Lesson: independent events) |
| Independent and mutually exclusive are different | Part (ii), Step 3; take-away 3 | Remarks (ii), Section 13.4 |
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