2. A random variable X has a probability density function of the form Ct 0 ≤t≤1 1≤t≤2 C C(3-t) 2≤t≤3 0 otherwise (We can get such a random variable, for example, when we add an Uniform(0, 1) random variable to an independent Uniform (0, 2) random variable.) (a) Determine the value of C for which this is a probability density function. (b) Find the cumulative distribution function of X. (c) Find Pr[0.5 < X < 1.5]. fx (t) =

A First Course in Probability (10th Edition)
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2. A random variable X has a probability density function of the form
Ct
0≤t≤1
C
1≤t≤2
C(3-t)
2≤t≤3
otherwise
fx (t) =
(We can get such a random variable, for example, when we add an Uniform(0, 1) random
variable to an independent Uniform(0, 2) random variable.)
(a) Determine the value of C for which this is a probability density function.
(b) Find the cumulative distribution function of X.
(c) Find Pr[0.5 ≤ x ≤ 1.5].
Transcribed Image Text:2. A random variable X has a probability density function of the form Ct 0≤t≤1 C 1≤t≤2 C(3-t) 2≤t≤3 otherwise fx (t) = (We can get such a random variable, for example, when we add an Uniform(0, 1) random variable to an independent Uniform(0, 2) random variable.) (a) Determine the value of C for which this is a probability density function. (b) Find the cumulative distribution function of X. (c) Find Pr[0.5 ≤ x ≤ 1.5].
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