Solutions
... Solution outline. Every path of the frog has to go through the square in the middle. On its way from this square the frog decides four times whether to jump directly up or diagonally, thus the number of ways from the middle up is 24 = 16. The number of ways from the bottom row to the middle is the s ...
... Solution outline. Every path of the frog has to go through the square in the middle. On its way from this square the frog decides four times whether to jump directly up or diagonally, thus the number of ways from the middle up is 24 = 16. The number of ways from the bottom row to the middle is the s ...
Poisson Processes and Applications in Hockey
... where x is the number of successes and e is the natural logarithm. Then X has Poisson distribution denoted X ∼ Pλ . P {X = x} = f (x) = ...
... where x is the number of successes and e is the natural logarithm. Then X has Poisson distribution denoted X ∼ Pλ . P {X = x} = f (x) = ...
Relevant Explanations: Allowing Disjunctive Assignments
... ally, Jack may have used any one of 99 different meth ods (such as walking, taking a bus, etc.), all equally likely given that Jack intended to get to the tracks, for the sake of this example. The method variable is represented by a node with 100 possible values, one for each method, and one for no ...
... ally, Jack may have used any one of 99 different meth ods (such as walking, taking a bus, etc.), all equally likely given that Jack intended to get to the tracks, for the sake of this example. The method variable is represented by a node with 100 possible values, one for each method, and one for no ...
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LAB1
... c) The C.L.T. is still true even if the Yi's are from different probability distributions! All that is required for the C.L.T. to hold is that the distribution(s) have a finite mean(s) and variance(s) and that no one term in the sum dominates the sum. This is more general than definition II). 1) In ...
... c) The C.L.T. is still true even if the Yi's are from different probability distributions! All that is required for the C.L.T. to hold is that the distribution(s) have a finite mean(s) and variance(s) and that no one term in the sum dominates the sum. This is more general than definition II). 1) In ...
