In probability theory, events E1, E2, ..., En are said to be mutually exclusive if the occurrence of any one of them automatically implies the non-occurrence of the remaining n − 1 events. Therefore, two mutually exclusive events cannot both occur. Mutually exclusive events have the property: P (A ∩ B) = 0.When A and B are mutually exclusive, P (A or B) = P (A) + P (B).
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Conditional probability for mutually exclusive events
If, A nn B = O/ two events are mutually exclusive
Then we know that p ( A / B) = p( A nn B ) / P ( B)
Then if P ( B ) = 0
Then P ( A / B ) = 0.
Example problem for Mutually Exclusive Events:
Pro 1: What is the probability of die showing 2 or 5?
Sol : P (2) = 1/6
P (5) = 1/6
P (2 nn 5) = P (2) + P (5)
= (1/6) + (1/6)
= 2/6
P (2 nn 5) = 1/3
The Probability of a die showing 2 or 5 is 1/3
Pro 2: The probability of the teams P, Q and R is winning a badminton competition are (2/4).(2/8) and (2/10) respectively.
Calculate the probability that
a) Either P or Q will win
b) Either P or Q or R will win
c) None of these teams will win
d) Neither P nor Q will win
Sol : a) P(P or Q will win)
= (2/4)+(2/8)
= (6/8)
P(P or Q will win) = (3/4)
b) P (P or Q or R will win)
= (2/4) + (2/8) + (2/10)
= (160/320)
P (P or Q or R will win) = (3 / 2)
c) P (none will win)
= 1 – P (P or Q or R will win)
= 1- (3 / 2)
P (none will win) = (- 1 / 2)
d) P (neither P nor Q will win)
= 1 – P(either P or Q will win)
= 1 - (3 / 2)
P (neither P nor Q will win) = (-1 / 2)
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Pro 3: What is the probability to draw a king, queen, or jack from a deck of playing cards?
Sol : The individual probabilities are
King = (4/52)
Queen = (4/52)
Therefore, the probability of success is
P = (4/52)+(4/52)
= (8/52)
P = (2/13)
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