Complement Rule of Probability:––––––––––––––––––––––––––––––––––––––––––
The Complement Rule states that the sum of the probabilities of an event and its complement must equal 1.
For example, If we roll a fair die, then the sum of probabilities of an event "getting a 3" and it's completement event "not getting 3" is equal to 1.
Verification:––––––––––––––––
If a fair die is rolled,
Sample Space={1, 2, 3, 4, 5, 6}
∴ Total number of possible outcomes =6
Favorable outcome of an event "getting 3" ={3}
Number of favorable outcome of an event "getting 3" =1
∴P(getting 3)=Number of favorable outcomesTotal number of possible outcomes
⇒P(getting 3)=16
Favorable outcome of an event "not getting 3" ={1, 2, 4, 5, 6}
Number of favorable outcome of an event "not getting 3" =5
∴P(not getting 3)=Number of favorable outcomesTotal number of possible outcomes
⇒P(not getting 3)=56
Now, P(getting 3)+P(not getting 3)
=16+56
=1+56=66=1
Hence, proved, sum of the probabilities of an event and its complement is equal to 1.