Answer:
2758.653
Step-by-step explanation:
I'm super smart
Its easy you just have to do the pi formula
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.
Aneesha is traveling at a rate of 4400 feet per second, which means that Morris is traveling a a rate of 4397 feet per second
Answer:
B
Step-by-step explanation: