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.
I hope this helps you
4×[x-y=1] 4x-4y=4
3x+4y+4x-4y=5+4
7x=9 x=9/7
9/7-y=1 y=9/7-1 y=2/7
Answer:
the last graph where the point is on the number 4 on the y intercept
Step-by-step explanation:
Answer:
Question 1) Is option C: 2. (Question 2) The correct answer is 1.09 for the K12 program. Question 3) Option A: The value of a motorcycle decreases by 12% each year. (Option C) Every year, the number of online subscribers to a service is 4 times what it was the previous year.