Answer:
Variance s2 = 788.33333
Standard Deviation s = 28.077274
Count n = 7
Mean x¯¯¯ = 52
Sum of Squares SS = 4730
Step-by-step explanation:
Answer: 916. Because if you do 856+60=916.
Step-by-step explanation: The standard normal distribution is a normal distribution with a mean of zero and standard deviation of 1. Formula: and natural statistics x and x2. The dual expectation parameters for normal distribution are η1 = μ and η2 = μ2 + σ2.
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:
D
Step-by-step explanation:
The answer to this question is

. Hope this helps.