If she made the last free throw, then her probability of making the next one is 0.7. On the other hand, If she missed the last free throw, then her probability of making the next one is 0.2. Assume that state 1 is Makes the Free Throw and that state 2 is Misses the Free Throw. (1) Find the transition matrix for this Markov process. P = (2) Find the two-step transition matrix P(2) for this Markov process. P(2) =| (3) If she makes her first free throw, what is the probability that she makes the third one? (3) If she misses her first free throw, what is the probability that she makes the third one?
If she made the last free throw, then her probability of making the next one is 0.7. On the other hand, If she missed the last free throw, then her probability of making the next one is 0.2. Assume that state 1 is Makes the Free Throw and that state 2 is Misses the Free Throw. (1) Find the transition matrix for this Markov process. P = (2) Find the two-step transition matrix P(2) for this Markov process. P(2) =| (3) If she makes her first free throw, what is the probability that she makes the third one? (3) If she misses her first free throw, what is the probability that she makes the third one?
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter2: Matrices
Section2.5: Markov Chain
Problem 47E: Explain how you can determine the steady state matrix X of an absorbing Markov chain by inspection.
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![If she made the last free throw, then her probability of making the next one is 0.7. On the other hand, if she missed the last free throw, then her probability of making the next one is 0.2.
Assume that **state 1** is Makes the Free Throw and that **state 2** is Misses the Free Throw.
1. Find the transition matrix for this Markov process.
\[
P = \begin{bmatrix}
\, \boxed{} & \boxed{} \, \\
\, \boxed{} & \boxed{} \,
\end{bmatrix}
\]
2. Find the two-step transition matrix \(P(2)\) for this Markov process.
\[
P(2) = \begin{bmatrix}
\, \boxed{} & \boxed{} \, \\
\, \boxed{} & \boxed{} \,
\end{bmatrix}
\]
3. If she makes her first free throw, what is the probability that she makes the third one?
\[
\boxed{}
\]
3. If she misses her first free throw, what is the probability that she makes the third one?
\[
\boxed{}
\]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F36a79c17-bf73-44c3-9503-d2f30f855206%2Ff02f3332-f865-4a2b-b3ec-4759a4e1a2b8%2Fvxqeuq_processed.png&w=3840&q=75)
Transcribed Image Text:If she made the last free throw, then her probability of making the next one is 0.7. On the other hand, if she missed the last free throw, then her probability of making the next one is 0.2.
Assume that **state 1** is Makes the Free Throw and that **state 2** is Misses the Free Throw.
1. Find the transition matrix for this Markov process.
\[
P = \begin{bmatrix}
\, \boxed{} & \boxed{} \, \\
\, \boxed{} & \boxed{} \,
\end{bmatrix}
\]
2. Find the two-step transition matrix \(P(2)\) for this Markov process.
\[
P(2) = \begin{bmatrix}
\, \boxed{} & \boxed{} \, \\
\, \boxed{} & \boxed{} \,
\end{bmatrix}
\]
3. If she makes her first free throw, what is the probability that she makes the third one?
\[
\boxed{}
\]
3. If she misses her first free throw, what is the probability that she makes the third one?
\[
\boxed{}
\]
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