Markov Property:
Markov property means “absence of memory” of a random process – that is, independence of conditional probabilities 
on values U(t2 < t). In simpler words, this property means that future behavior depends only on the current state, but not on the state(s) in the past. See also Markov Chain.
Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.
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