6.5 Mutually Exclusive EventsThis is a featured page




Mutually Exclusive Events
: Events that cannot occur at the same time.
Mutually Exclusive
Mutually Exclusive Events Eqn.
This equation is used when one sees the word "or" and ACP (Additive Counting Principle) is used because we are adding probabilities.
Ex. We would use this equation if a question asked: What is the probability that in a group of teachers we randomly select either a male or a female. [Basically a teacher cannot be a male and a female at the same time(as far as we know), so it is said that these two events are mutually exclusive.]
Non-Mutually Exclusive Events: Events that can occur at the same time.
Non-Mutually Exclusive
Non-Mutually Exclusive Events Eqn.
This equation is used when one sees the word "or" and events from A and B can happen at the same time. Again ACP is used because we are adding probabilities.
Ex. We would use this equation if a question asked: What is the probability that in a group of teachers we randomly select either an Italian or a male. [Basically a teacher can be an Italian and a male at the same time(ex.Mr.D'Onofrio), so it is said that these two events are non-mutually exclusive. We subtract the intersection of A and B to get rid of any duplicates.]
Example 1 From Homework:
Handout - Exercise 5.3:
Question # 5:
The following table illustrates the distribution of elementary and secondary school enrolment in public and private institutions in Canada in 1977.

Province/Territory
Public
Private
CANADA
5,285,274

185,035

Newfoundland
157,803

293

PEI
27,919

-

Nova Scotia
201,759

1,410

New Brunswick
163,317

393

Quebec
1,319,511

86,110

Ontario
1,974,266

58,226

Manitoba
225,854

7,642

Saskatchewan
219,327

1,573

Alberta
441,255

6,070

British Columbia
536,481

23,318

Yukon
4,866

-

NWT
12,916

-



If a Canadian student was selected at random, what would be the probability that the student was:
(a) from Ontario?
6.5 Mutually Exclusive Events - MDM4U1@FMG

(b) from either Ontario or Quebec?
6.5 Mutually Exclusive Events - MDM4U1@FMG

(c) from the public system?
6.5 Mutually Exclusive Events - MDM4U1@FMG

(d) from either Ontario or the Private system?
6.5 Mutually Exclusive Events - MDM4U1@FMG

(e) from either Manitoba or the Yukon?
Refer to (b)
Ans = 0.044
Example 2 from Class Notes:

A Mutually Exclusive Event..
If a committee of five is to be chosen randomly from six males and eight females, what is the probability that the committee is either all male or all female?


6.5 Mutually Exclusive Events - MDM4U1@FMG



Example 3 from Class Notes:

A Non-Mutually Exclusive Event..
Rolling 2 dice. What is the probability of rolling a sum greater than 7 or doubles?

6.5 Mutually Exclusive Events - MDM4U1@FMG

Example Chart: Classify each pair of events as mutually exclusive or non-mutually exclusive.
Lesson 6.5- Homework Question 1- pg 340

Event A Event B Event Type
-randomly drawing a grey sock from a drawer -randomly drawing a wool sock from a drawer non-mutualy exclusive
-randomly selecting a student with brown eyes -randomly selecting a student on the honour roll non-mutually exclusive
-having an even number of students in your class -having an odd number of students in your class mutually exclusive
-rolling a six with a die -rolling a prime number with a die mutually exclusive




References: Mr. D'Onofrio's notes, Exercise 5.3 work sheet; Mrs. Richardson's notes, 6.5 Question 1 page 340.


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Anonymous daiiiii 0 Feb 19 2009, 10:01 PM EST by Anonymous
 
Thread started: Feb 19 2009, 10:01 PM EST  Watch
Niggz don get it rongggg
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Anonymous thanks 3 Oct 30 2007, 5:31 PM EDT by Mr._D'Onofrio
 
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I am not a student of yours but I find your notes very helpful as I am taking this class from the same textbook and this is the first year my teacher was given the oppourtunity to teach this class so hes not that great at it yet, thanks for the help :)... Sincerely Brett Gregg, Norwood DHS
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Alino *thumbs up* 0 Jan 10 2007, 11:37 PM EST by Alino
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I found your examples to be very clear and easy to refer to due to the use of colours to clarify what was being explained... good job
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