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... If we throw a coin, the probability of getting a head will be equal to the probability of getting a tail. In a single throw, s = f = 1, and therefore the probability of getting a head (or a tail) is 0.5. ...
... If we throw a coin, the probability of getting a head will be equal to the probability of getting a tail. In a single throw, s = f = 1, and therefore the probability of getting a head (or a tail) is 0.5. ...
Probability
... Basic Probability Ex. A typical question on an SAT test requires the test taker to select one of five possible choices: A, B, C, D, or E. The probability of correctly answering a question when guessing is 1/5 or 0.2 Find the probability of making a random guess and not being correct i.e. being inco ...
... Basic Probability Ex. A typical question on an SAT test requires the test taker to select one of five possible choices: A, B, C, D, or E. The probability of correctly answering a question when guessing is 1/5 or 0.2 Find the probability of making a random guess and not being correct i.e. being inco ...
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... i. Give the state space for this Markov chain. ii. Write down the transition matrix for this Markov chain. iii. Classify each state of this Markov chain according to its period and whether the state is recurrent or transient. iv. Is this Markov chain irreducible. Why or why not? 2. (Total 15 marks) ...
... i. Give the state space for this Markov chain. ii. Write down the transition matrix for this Markov chain. iii. Classify each state of this Markov chain according to its period and whether the state is recurrent or transient. iv. Is this Markov chain irreducible. Why or why not? 2. (Total 15 marks) ...
Bayesian Belief Net: Tutorial
... not effect the probability of 'Martin late' and vice versa. The existence of unlinked (conditionally independent) nodes in a network drastically reduces the computations necessary to work out all the probabilities we require. In general, all the probabilities can be computed from the joint probabili ...
... not effect the probability of 'Martin late' and vice versa. The existence of unlinked (conditionally independent) nodes in a network drastically reduces the computations necessary to work out all the probabilities we require. In general, all the probabilities can be computed from the joint probabili ...
