An ordinary (fair) coin is tossed 3 times. Outcomes are thus triples of "heads" (h) and "tails" (t) which we write hth, ttt, etc. For each outcome, let N be the random variable counting the number of tails in each outcome. For example, if the outcome is hht, then = Nhht1. Suppose that the random variable X is defined in terms of N as follows: =X−2N2−4N3. The values of X are given in the table below.   Outcome ttt hhh htt hht thh tht hth tth Value of  X 3 −3 −3 −5 −5 −3 −5 −3   Calculate the probabilities P (X = x) of the probability distribution of X. First, fill in the first row with the values of X. Then fill in the appropriate probabilities in the second row. Value  x  of  X       P (X = x)

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An ordinary (fair) coin is tossed 3 times. Outcomes are thus triples of "heads" (h) and "tails" (t) which we write hth, ttt, etc.

For each outcome, let N be the random variable counting the number of tails in each outcome. For example, if the outcome is hht, then = Nhht1. Suppose that the random variable X is defined in terms of N as follows: =X−2N2−4N3. The values of X are given in the table below.

 

Outcome
ttt
hhh
htt
hht
thh
tht
hth
tth
Value of 
X
3
−3
−3
−5
−5
−3
−5
−3

 

Calculate the probabilities P (X = x) of the probability distribution of X. First, fill in the first row with the values of X. Then fill in the appropriate probabilities in the second row.
Value 
x
 of 
X
 
 
 
P (X = x)
 
 
 
 
 
 
 
 
 
 
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