(a) A continuous random variable X is distributed according to a probability den- sity function (pdf) fx(x) = c (1+ x), -1

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Chapter1: Combinatorial Analysis
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(a) A continuous random variable X is distributed according to a probability den-
sity function (pdf)
fx(x) = c (1+ x), -1<r<1 (and fx (x) = 0 elsewhere)
where c is a constant to be determined.
(i) State the conditions for fx(r) to be a pdf and show that c =
= 1/2.
(ii) Find the first, E(X), and the second ordinary moment, E(X?), and hence
find the mean and variance of X.
(iii) Find the Moment Generating Function G(t) for X and express it in the
simplest form.
Transcribed Image Text:(a) A continuous random variable X is distributed according to a probability den- sity function (pdf) fx(x) = c (1+ x), -1<r<1 (and fx (x) = 0 elsewhere) where c is a constant to be determined. (i) State the conditions for fx(r) to be a pdf and show that c = = 1/2. (ii) Find the first, E(X), and the second ordinary moment, E(X?), and hence find the mean and variance of X. (iii) Find the Moment Generating Function G(t) for X and express it in the simplest form.
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