2. Physics Helpline
L K Satapathy
Algebra of Events : Two or more events can be combined in a manner
similar to the combination of two or more sets
(Union , Intersection , difference , complement etc.)
Complementary Event: For every event A , there is another event A,
which is the complement of event A (also called ‘not A’)
Consider the experiment of tossing three coins.
S = { HHH , HHT , HTH , HTT , THH , THT , TTH , TTT }
Consider the event ‘ only one tail occurs ’ A = { HHT , HTH , THH }
For every outcome of the experiment which is not in A , we say that
A has not occurred. Which means that ‘not A’ ( or A) has occurred
A = { HHH , HTT , THT , TTH , TTT }
Or A = { : S and A } = S – A
Probability Theory 4
3. Physics Helpline
L K Satapathy
If A , B are two events associated with a sample space S ,
then AB is the event ‘A or B’ [ either A or B or both ]
Event A or B :
Consider the events A = an even number occurs A = { 2 , 4 , 6 }
and B = a multiple of 3 occurs B = { 3 , 6 }
Example : The experiment of throwing a die. S = { 1 , 2 , 3 , 4 , 5 , 6 }
The event A or B = A B = { : A or B}
The event ‘an even number or a multiple of 3 occurs’ = the event A or B
The event ‘A or B’ = A B = { 2 , 3 , 4 , 6 }
When the outcome of the throw is either 2 , 3 , 4 or 6 ,
we say that the event A or B has occurred
Probability Theory 4
4. Physics Helpline
L K Satapathy
If A , B are two events associated with a sample space S ,
then A B is the event ‘A and B’
Event A and B :
Consider the events A = an odd number occurs A = { 1 , 3 , 5 }
and B = a prime number occurs B = { 2 , 3 , 5 }
Example : The experiment of throwing a die. S = { 1 , 2 , 3 , 4 , 5 , 6 }
The event A and B = A B = { : A and B }
The event ‘an odd prime number occurs’ = the event A and B
The event ‘A and B’ = A B = { 3 , 5 }
When the outcome of the throw is either 3 or 5 ,
we say that the event ‘A and B’ has occurred
Probability Theory 4
5. Physics Helpline
L K Satapathy
If A , B are two events associated with a sample space S ,
then A – B = A B is the event ‘A but not B’
Event A but not B :
Consider the events A = an odd number occurs A = { 1 , 3 , 5 }
and B = a prime number occurs B = { 2 , 3 , 5 }
Example : The experiment of throwing a die. S = { 1 , 2 , 3 , 4 , 5 , 6 }
The event A but not B = A B = { : A and B }
The event ‘an odd number which is not prime occurs’ = A but not B
The event ‘ A but not B ’ = A B = A – B = { 1 }
When the outcome of the throw is 1 ,
we say that the event ‘A but not B’ has occurred
Probability Theory 4
6. Physics Helpline
L K Satapathy
Two events A and B of a random experiment are said to be mutually
exclusive , if the occurrence of any one of them excludes the
occurrence of the other (both cannot occur simultaneously) .
Mutually exclusive events :
Consider the events A = an odd number occurs A = { 1 , 3 , 5 }
B = an even number occurs B = { 2 , 4 , 6 }
Example : The experiment of throwing a die. S = { 1 , 2 , 3 , 4 , 5 , 6 }
A B = A and B are mutually exclusive events
and C = a number less than 4 occurs C = { 1 , 2 , 3 }
A C = { 1 , 3 } A and C are not mutually exclusive events
B C = { 2 } B and C are not mutually exclusive events
A B =
Probability Theory 4
7. Physics Helpline
L K Satapathy
A number of events of a sample space are said to be exhaustive if
their union produces the sample space.
Exhaustive Events :
Consider n events of a sample space S .1 2, , . . . , nE E E
1 2
1
. . .
n
n i
i
E E E E S
They are said to be exhaustive if
Consider the experiment of throwing a die. S = { 1 , 2 , 3 , 4 , 5 , 6 }
Consider the events A = an odd number occurs A = { 1 , 3 , 5 }
B = a prime number occurs B = { 2 , 3 , 5 }
C = a number greater than 3 occurs C = { 4 , 5 , 6 }
We observe that A B C = { 1 , 2 , 3 , 4 , 5 , 6 } = S
A , B and C are exhaustive events . Hence at least one of
them will occur when the experiment is performed
Probability Theory 4
8. Physics Helpline
L K Satapathy
Mutually Exclusive and Exhaustive Events :
Consider n events of a sample space S .1 2, , . . . , nE E E
1 2
1
( ) . . .
n
n i
i
ii E E E E S
They are said to be mutually exclusive and exhaustive if
( ) , , ( )i ji E E i j i j
The collection of elementary events associated with a random
experiment form a system of mutually exclusive and exhaustive events.
For S = {1,2,3,4,5,6} , elementary events are {1}, {2}, {3}, {4}, {5} and {6} ,
which are mutually exclusive and exhaustive.
In the experiment of throwing a die , the events A = an odd number
occurs and B = an even number occurs , are mutually exclusive and
exhaustive. Here S = { 1,2,3,4,5,6 }
Since A = { 1,3,5 } and B = { 2,4,6 } A B = S and A B =
(pair wise disjoint)
Probability Theory 4
9. Physics Helpline
L K Satapathy
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