Probabilities Independent Dependent (a) P(1) =; P(#) - , P(4 and B) - 1 10 (6) P(A) =; P() = P(B1.) - 1 1 P(B) 1 1 (d) P(4)=-;P(B)=; P(4 and B)

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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For each set of probabilities, determine whether the events A and B are independent or dependent.
Probabilities
Independent
Dependent
1
(a) P(4) ==; P(B) =; P(1 and B) =
1
P(A and B)
10
(b) P(4)-승,P(B)-: P(B14)
1
; P(B|A)
(6) P(A) = ; P(#) - P(A 15) -
1
P(B) = =; P(4\B)
1
1
1
(d) P(A) =-;P(B) = ; P (4 and B)
%3D
12
Transcribed Image Text:For each set of probabilities, determine whether the events A and B are independent or dependent. Probabilities Independent Dependent 1 (a) P(4) ==; P(B) =; P(1 and B) = 1 P(A and B) 10 (b) P(4)-승,P(B)-: P(B14) 1 ; P(B|A) (6) P(A) = ; P(#) - P(A 15) - 1 P(B) = =; P(4\B) 1 1 1 (d) P(A) =-;P(B) = ; P (4 and B) %3D 12
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