1) Consider the experiment of throwing two dice for one time, and let A= The event is that appearance two numbers, such that their product is equal to 4, then A= : a ((1.4). (4,1) b- {(1.4). (4,1). (2,2) e (2.2) 2) Let A and B are two mutually exclusive events. If (A) = and P(B) = then P(A U B) = : 3) Let A and B are two mutually exclusive events. If P(B) = then P(Bn A) = e- P(A) 4) Let X be a continuous random variable with pdf fr(x) = , x= 1,2,3,4, then the cumulative 10 distribution function Fx(x) is b x(x+1)

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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1) Consider the experiment of throwing two dice for one time, and let A= The event is that appearance
two numbers, such that their product is equal to 4, then A= :
a ((1.4). (4,1)
b- {(1.4).(4,1). (2,2))
e (2.2)
2) Let A and B are two mutually exclusive events. If (A) =. and P(B) = then P(AU B) = :
3) Let A and B are two mutually exclusive events. If P(B) = then P(Bn A) =
e- P(A)
4) Let X be a continuous random variable with pdf fr(x) =, x= 1,2,3,4, then the cumulative
distribution function Fx(x) is
b
x(x+1)
a-
Transcribed Image Text:1) Consider the experiment of throwing two dice for one time, and let A= The event is that appearance two numbers, such that their product is equal to 4, then A= : a ((1.4). (4,1) b- {(1.4).(4,1). (2,2)) e (2.2) 2) Let A and B are two mutually exclusive events. If (A) =. and P(B) = then P(AU B) = : 3) Let A and B are two mutually exclusive events. If P(B) = then P(Bn A) = e- P(A) 4) Let X be a continuous random variable with pdf fr(x) =, x= 1,2,3,4, then the cumulative distribution function Fx(x) is b x(x+1) a-
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