Answer:
Probability distribution vector =
Step-By-Step Explanation
If is the transition matrix for a Markov chain with two states.
be the initial state vector for the population.
In the long run, the probability distribution vector Xm approaches the probability distribution vector .
This is called the steady-state (or limiting,) distribution vector.
Answer:
34,623
Step-by-step explanation:
427,113 + 38,264 = 465377
500,000 - 465377 = 34,623 books in December must go out to meet the librarian's goal.
Answer:
domain: x ≥ 7
range: f(x) ≥ 9
Step-by-step explanation: