Since the random variable X is uniformly distributed with the interval, (-2,1), its pdf is given as,
f(x)=b−a1=1−−21=31
Therefore, the probability density function for the random variable X IS,
f(x)=31, −2≤x≤10, elsewhere
To determine the pdf of y=2x3, we shall apply the cumulative density function (CDF) method as described below.
We determine G(y), the cdf of y=2x3,
Now,
G(y)=p(Y≤y)=p(2x3≤y)⟹p(x≤(2y)31)
From definition of probability for continuous distributions,
p(x≤(2y)31)=∫−2(2y)31f(x)dx
So,
G(y)=p(x≤(2y)31)=∫−2(2y)3131dx=3x∣−2(2y)31=3(2y)31+32
To find the pdf of the random variable y, we differentiate G(y) with respect to y. That is,
g(y)=dydG(y)=331×21×(2y)−32=181(2y)−32
The limits are,
Lower limit,
y=2×(−2)3=−16
Upper limit,
y=2×(1)3=2
Therefore, the probability density function of the random variable y is,
g(y)=181(2y)−32, −16≤y≤20, elsewhere
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