(A) Refer to the transition diagram in Figure 1. What is the probability that a person using brand A will switch to another brand when he or she runs out of toothpaste? (B) Refer to transition probability matrix P . What is the probability that a person who is not using brand A will not switch to brand A when he or she runs out of toothpaste? (C) In Figure 1 , the sum of the probabilities on the arrows leaving each state is 1 . Will this be true for any transition diagram? Explain your answer. (D) In transition probability matrix P , the sum of the probabilities in each row is 1 . Will this be true for any transition probability matrix? Explain your answer.
(A) Refer to the transition diagram in Figure 1. What is the probability that a person using brand A will switch to another brand when he or she runs out of toothpaste? (B) Refer to transition probability matrix P . What is the probability that a person who is not using brand A will not switch to brand A when he or she runs out of toothpaste? (C) In Figure 1 , the sum of the probabilities on the arrows leaving each state is 1 . Will this be true for any transition diagram? Explain your answer. (D) In transition probability matrix P , the sum of the probabilities in each row is 1 . Will this be true for any transition probability matrix? Explain your answer.
Solution Summary: The author analyzes the probability that a person using brand A will switch to another brand when that person runs out of toothpaste by referring to the given transition diagram.
(A) Refer to the transition diagram in Figure 1. What is the probability that a person using brand A will switch to another brand when he or she runs out of toothpaste?
(B) Refer to transition probability matrix
P
. What is the probability that a person who is not using brand A will not switch to brand A when he or she runs out of toothpaste?
(C) In Figure
1
, the sum of the probabilities on the arrows leaving each state is
1
. Will this be true for any transition diagram? Explain your answer.
(D) In transition probability matrix
P
, the sum of the probabilities in each row is
1
. Will this be true for any transition probability matrix? Explain your answer.
Homework Let X1, X2, Xn be a random sample from f(x; 0) where
f(x; 0) = e−(2-0), 0 < x < ∞,0 € R
Using Basu's theorem, show that Y = min{X} and Z =Σ(XY) are indep.
rmine the immediate settlement for points A and B shown in
figure below knowing that Aq,-200kN/m², E-20000kN/m², u=0.5, Depth
of foundation (DF-0), thickness of layer below footing (H)=20m.
4m
B
2m
2m
A
2m
+
2m
4m
Solve this please
Chapter 9 Solutions
Finite Mathematics for Business, Economics, Life Sciences and Social Sciences
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