Your answer is incorrect. rdinary (fair) coin is tossed 3 times. Outcomes are thus triples of "heads" (h) and "tails" (t) which we wr om variable counting the number of heads in each outcome. For example, if the outcome is thh, then R ned in terms of R as follows: X=3R-R-4. The values of X are given in the table below. Outcome hth hhh ttt tth hht htt tht thh Value of X -2 -4 -4 =2 -2 -2 -2 -2 culate the values of the probability distribution function of X, i.e. the function py. First, fill in the first row babilities in the second row. Value x of X ? Px (x)
Your answer is incorrect. rdinary (fair) coin is tossed 3 times. Outcomes are thus triples of "heads" (h) and "tails" (t) which we wr om variable counting the number of heads in each outcome. For example, if the outcome is thh, then R ned in terms of R as follows: X=3R-R-4. The values of X are given in the table below. Outcome hth hhh ttt tth hht htt tht thh Value of X -2 -4 -4 =2 -2 -2 -2 -2 culate the values of the probability distribution function of X, i.e. the function py. First, fill in the first row babilities in the second row. Value x of X ? Px (x)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Your answer is incorrect.
An ordinany (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 R be the
random variable counting the number of heads in each outcome. For example, if the outcome is thh, then R (thh) = 2. Suppose that the random variable X is
defined in terms of R as follows: X= 3R-R-4. The values of X are given in the table below.
hth hhh ttt
tth hht htt tht thh
Outcome
Value of X -2
-4
-4
=2-2-2 -2
-2
Calculate the values of the probability distribution function of X, i.e. the function py. First, fill in the first row with the values of X. Then fill in the appropriate
probabilities in the second row.
Value x ofX
Px (x)
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