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 hth, then N (hth) = 1. Suppose that the random variable X is defined in terms of N as follows: X=2N² -4N-3. The values of X are given in the table below. Outcome hth hhh tht tth hht thh httttt Value of X-5 -3-3 -3 -5 -5 -3 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) 0 0 olo X
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 hth, then N (hth) = 1. Suppose that the random variable X is defined in terms of N as follows: X=2N² -4N-3. The values of X are given in the table below. Outcome hth hhh tht tth hht thh httttt Value of X-5 -3-3 -3 -5 -5 -3 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) 0 0 olo X
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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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 hth, then N (hth) = 1. Suppose
that the random variable X is defined in terms of N as follows: X=2N² -4N-3. The values of X are given in the table below.
Outcome hth hhh tht tth hht thh htt ttt
Value of X-5 -3 -3 -3 -5 -5 -3 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)
0 0
0 0 0
8
X](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8fa3c2f3-5601-420c-966e-14c1c788064c%2F62cf4f55-e278-41d6-9942-50a13a60c2e7%2F6hqcgf_processed.png&w=3840&q=75)
Transcribed Image Text: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 hth, then N (hth) = 1. Suppose
that the random variable X is defined in terms of N as follows: X=2N² -4N-3. The values of X are given in the table below.
Outcome hth hhh tht tth hht thh htt ttt
Value of X-5 -3 -3 -3 -5 -5 -3 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)
0 0
0 0 0
8
X
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