- 2068 Jestha (old course) · 6 marks
Joint pdf a(x+y): marginals, probability
Short answer
a=1/2. Marginal of X: g(x)=(2x+3)/4 for 0<x<1. Marginal of Y: h(y)=(2y+1)/4 for 1<y<2. P(0.5<X<0.8, Y>1.5)=0.18.
The given joint probability density function is f(x, y) = a(x + y), for 0 < x < 1 and 1 < y < 2; = 0 elsewhere. i) Find the marginal function of x and y. ii) Find the probability for (0.5 < x < 0.8 and y > 1.5).
Find the constant a
For a joint pdf, ∫∫ f(x, y) dy dx = 1.
∫₀¹ ∫₁² a(x + y) dy dx = a ∫₀¹ [xy + y²/2]₁² dx = a ∫₀¹ (x + 3/2) dx = a [x²/2 + 3x/2]₀¹ = a(1/2 + 3/2) = 2a
2a = 1, so a = 1/2. Thus f(x, y) = (x + y)/2, 0 < x < 1, 1 < y < 2.
i) Marginal functions
Marginal of X:
g(x) = ∫₁² (x + y)/2 dy = (1/2) [xy + y²/2]₁² = (1/2)(x + 3/2) = (2x + 3)/4, 0 < x < 1
Marginal of Y:
h(y) = ∫₀¹ (x + y)/2 dx = (1/2) [x²/2 + xy]₀¹ = (1/2)(1/2 + y) = (2y + 1)/4, 1 < y < 2
Check: ∫₀¹ (2x + 3)/4 dx = (1 + 3)/4 = 1 and ∫₁² (2y + 1)/4 dy = (3 + 1)/4 = 1.
ii) P(0.5 < X < 0.8 and Y > 1.5)
P = ∫₀.₅^₀.₈ ∫₁.₅² (x + y)/2 dy dx
Inner integral: ∫₁.₅² (x + y) dy = [xy + y²/2]₁.₅² = 0.5x + (2 − 1.125) = 0.5x + 0.875
P = (1/2) ∫₀.₅^₀.₈ (0.5x + 0.875) dx = (1/2) [0.25x² + 0.875x]₀.₅^₀.₈
= (1/2) [(0.16 + 0.7) − (0.0625 + 0.4375)] = (1/2)(0.86 − 0.50) = 0.18
Answer: a = 1/2; g(x) = (2x + 3)/4; h(y) = (2y + 1)/4; P = 0.18.
✓ Answer checked by Claude Sonnet 5.5
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