24. Consider a distribution with density on the interval [0, 2]. Let the probability density function (pdf) for this distribution be the following: fy(y) on [0, 2] 2 (i) Draw/plot the pdf fy(y) vs. y for the interval [0, 2]. (ii) Determine the Cumulative Distribution Function (CDF), F,(y). (iii) Draw/plot the CDF F,(y) vs y for the interval [0, 2]. (iv) Determine the expected value of the Random Variable (RV) y, i.e., E [y].

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24. Consider a distribution with density on the interval [0, 2]. Let the probability density function (pdf)
for this distribution be the following:
fy(u) = %
on [0, 2]
2
(i) Draw/plot the pdf fy(y) vs. y for the interval [0, 2].
(ii) Determine the Cumulative Distribution Function (CDF), F, (y).
(iii) Draw/plot the CDF F,(y) vs y for the interval [0, 2].
(iv) Determine the expected value of the Random Variable (RV) y, i.e., E [y].
Transcribed Image Text:24. Consider a distribution with density on the interval [0, 2]. Let the probability density function (pdf) for this distribution be the following: fy(u) = % on [0, 2] 2 (i) Draw/plot the pdf fy(y) vs. y for the interval [0, 2]. (ii) Determine the Cumulative Distribution Function (CDF), F, (y). (iii) Draw/plot the CDF F,(y) vs y for the interval [0, 2]. (iv) Determine the expected value of the Random Variable (RV) y, i.e., E [y].
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