[Probability Theory] Common Continuous Distribution (2)

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multiple choice

  1. Let the density function of random variable X be
    f ( x ) = { 1 / 3 , 0 < x < 1 , 2 / 9 , 3 < x < 6 , 0 , others . f(x)= \begin{cases} 1/ 3,&0<x<1, \\ 2/9,&3<x<6, \\ 0,&others. \end{cases}f(x)=1/3,2/9,0,0<x<1,3<x<6,others.
    Known P { X > k } = 2 3 P \{ X>k \} = \frac {2}{3}P{ X>k}=32, then the value range of k is ().
    A. [1, ∞)
    B. [1,3]
    C. [2,3]
    D. [2, ∞)
    【Correct answer: B】

  2. Suppose the density function of random variable X is f(x), then the density function of a certain random variable in the following functions must be ().
    A. 2f(x)
    B. f(2x)
    C. f(1-x)
    D. 1-f(x)
    【Correct answer: C】

  3. Suppose the density function of random variable X is f(x) is an even function, and F(x) is the distribution function of X, then there must be ().
    A. F(x)=F(-x)
    B. F(x)-F(-x)=1
    C. f(0)=0.5
    D. F ( − x ) + ∫ 0 xf ( t ) dt = 0.5 F(-x)+ \int _{0}^{x}f(t)dt=0.5F(x)+0xf(t)dt=0 . 5
    【Correct answer: D】

  4. Suppose the density function of continuous random variable X is f(x), and F(x) is the distribution function of X, then the following options must be true ().
    A. 0≤f(x)≤1
    B. F(0)=P{X=0}
    C. P{X<x}<F(x)
    D. P{X<x}=F(x)
    【 Correct answer: D]

  5. Let the density function of random variable X be
    f ( x ) = { λ e − λ x , x > 0 , 0 , otherx , f(x)= \begin{cases} \lambda e^{-\lambda x},&x >0, \\ 0,&otherx, \end{cases}f(x)={ λeλx,0,x>0,otherx,,
    Y obeys the parameter λ \lambdaλ Poisson distribution, known
    P(X>1)=0.5, then P{Y>2}=().
    A. 0.5
    B.2 − 2 ln ⁡ 2 − ( ln ⁡ 2 ) 2 4 \frac {2-2 \ln 2-( \ln 2)^{2}}{4}422ln2(ln2)2
    C. 0.1
    D. ln ⁡ 2 \ln2 ln2
    [Correct answer: B]

  6. Let the random variable X~U(0,1), record the event A={0<X<0.5}, B={0.25< X<0.75}, then ().
    A. Events A and B are mutually incompatible
    B. A⊂B
    C. Events A and B are opposed
    D. Events A and B are independent of each other
    【Correct answer: D】

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Origin blog.csdn.net/m0_68111267/article/details/131487306