[Probability Theory] Marginal Distribution Homework

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multiple choice

  1. Suppose the random variables X₁, X₂, X₃, X₄ have the same distribution and all obey B(1,p), then there is ().
    A. X₁+X₂ is identically distributed with X₃+X₄.
    B. X₁-X₂ is identically distributed with X₃-X₄.
    C. (X₁,X₂) is identically distributed with (X₃,X₄).
    D. X 1 2 , X 2 2 , X 3 2 , X 4 2 X_{1}^{2},X_{2}^{2},X_{3}^{2},X_{4}^{2}X12,X22,X32,X42Same distribution.
    【Correct answer: D】

  2. Let the density function of a two-dimensional random variable (X, Y) be
    f ( x , y ) = { c , x 2 ≤ y ≤ x , 0 , others . f(x,y)= \begin{cases} c,&x ^{2} \le y \le x, \\ 0,&others. \end{cases}f(x,y)={ c,0,x2yx,others.
    Where c is a non-negative constant, the correct one of the following options is ().
    A. The constant c=4
    B. The edge density of x is fx ( x ) = { x − x 2 , 0 ≤ x ≤ 1 , 0 , others . f_{x}(x)= \begin{cases} xx^{ 2},&0 \le x \le 1, \\ 0,&others. \end{cases}fx(x)={ xx2,0,0x1,others.
    C. P { X > 0.5 } = 1 2 P \{ X>0.5 \} = \frac {1}{2} P{ X>0.5}=21
    D. The edge density of Y is f Y ( y ) = { 6 ( y − y ) , x 2 ≤ y ≤ x , 0 , others . The edge density of Y is f_{Y}(y)= \begin{cases} 6( \sqrt {y}-y),&x^{2} \le y \le x, \\ 0,&others. \end{cases}The edge density of Y is fY(y)={ 6(y y),0,x2yx,others.
    【Correct answer: C】

  3. Let the density function of a two-dimensional random variable (X, Y) be
    f ( x , y ) = { cxy , 0 ≤ x ≤ 1 , 1 ≤ y ≤ 3 , 0 , others . f(x,y)= \begin{ cases} cxy,&0 \le x \le 1,1 \le y \le 3, \\ 0,&others. \end{cases}f(x,y)={ cxy,0,0x1,1y3,others.
    where c is a non-negative constant. The correct one of the following options is ().
    A. Constant c=2
    B. P { X > 0.5 } = 1 2 P \{ X>0.5 \} = \frac {1}{2}P{ X>0.5}=21
    C. P { Y > 2 } = 1 2 P \{ Y>2 \} = \frac {1}{2} P { AND>2}=21
    D. The function of Y functionf Y ( y ) = { y 4 , 1 ≤ y ≤ 3 0 , others . f_{Y}(y)= \{\begin{array}{l}\frac{y}{4},&1\le and\le3\\0,&\others.\end{array}fY(y)={ 4y,0,1y3 others.
    【Correct answer: D】

  4. Let the distribution function of a two-dimensional random variable (X, Y) be F(x, y), and the marginal distributions are F x ( x ) , F y ( y ) F_{x}(x), F_{y}(y )Fx(x),Fy( y ) , then the probability P{X>x, Y>y}=().
    A.1 − F ( x , y ) 1-F(x, y)1F(x,y)
    B. 1 − F X ( x ) − F Y ( y ) 1-F_X(x)-F_Y(y) 1FX(x)FY(y)
    C. F ( x , y ) − F X ( x ) − F Y ( y ) + 1 F(x,y)-F_{X}(x)-F_{Y}(y)+1 F(x,y)FX(x)FY(y)+1
    D. F ( x , y ) + F X ( x ) + F Y ( y ) − 1 F(x,y)+F_{X}(x)+F_{Y}(y)-1 F(x,y)+FX(x)+FY(y)1
    [Correct answer: C]

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