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Solutions to homework problems in a statistics course, covering topics such as mean, variance, moment generating functions, and joint density. The solutions include calculations for even density functions, moment generating functions for various random variables, and joint density functions.
Typology: Assignments
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Prepared by James Hu
a) Since the density function is an even function over the range (−∞, +∞), the mean is 0. This can also be seen from the following, i.e., by symmetry,the integrand is an odd function and the range of the integral is also symmetric around 0, therefore,
−∞
x ·
e−|x|dx = 0.
We can calculate the variance by using the fact V ar(X) = E(X^2 ) − [E(X)]^2 , and
E(X^2 ) =
−∞
x^2
e−|x|dx
0
x^2
e−xdx =
0
x^3 −^1 e−xdx = Γ(3) = 2! = 2
Therefore, V ar(X) = 2 − 0 = 2. b) The moment generating function for X 1 is
gX 1 (t) = E(eX^1 t) =
−∞
ex^1 t^
e−|x^1 |dx 1
−∞
e(t+1)x^1 dx 1 +
0
e(t−1)x^1 dx 1
t + 1
t − 1
, where |t| < 1
=
1 − t^2 , |t| < 1
Similarly, we can get the other moment generating functions, for |t| < 1
gSn (t) =
1 − t^2
)n , gAn (t) =
1 − ( (^) nt )^2
)n , gS∗ n (t) =
1 − 2 t^2 n
)n .
c) gS n∗ (t) → et
2 (^2) as n → ∞. d) gAn (t) → 1 as n → ∞.
1
The joint density function for (U 1 , U 2 ) is:
ϕ(u 1 , u 2 ) =
8 π exp
(u 1 − 2)^2 + (u 2 + 2)^2 8
The joint density function for (U 1 , U 2 ) is:
ϕ(u 1 , u 2 ) =
2 π exp
(u 1 −
2)^2 + u^22 2