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Probability Distributions Model Question Paper

12th Standard EM

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Maths

Time : 01:00:00 Hrs
Total Marks : 35
    2 x 1 = 2
  1. Let X represent the difference between the number of heads and the number of tails obtained when a coin is tossed n times. Then the possible values of X are

    (a)

    i + 2n, i = 0,1,2... n

    (b)

    2i- n, i = 0,1,2... n

    (c)

    n - i, i = 0,1,2... n

    (d)

    2i + 2n, i = 0, 1, 2...n

  2. If P{X = 0} = 1- P{X = I}. IfE[X) = 3Var(X), then P{X = 0}.

    (a)

    \(\cfrac { 2 }{ 3 } \)

    (b)

    \(\cfrac { 2 }{ 5 } \)

    (c)

    \(\cfrac { 1 }{ 5 } \)

    (d)

    \(\cfrac { 1 }{ 3 } \)

  3. 3 x 2 = 6
  4. A six sided die is marked '1' on one face, '3' on two of its faces, and '5' on remaining three faces. The die is thrown twice. If X denotes the total score in two throws, find
    (i) the probability mass function
    (ii) the cumulative distribution function
    (iii) P(4 ≤ X < 10)
    (iv) P(X ≥ 6)

  5. A random variable X has the following probability mass function.

    x 1 2 3 4 5
    f(x) k2 2k2 3k2 2k 3k
  6. Find the binomial distribution function for each of the following.
    (i) Five fair coins are tossed once and X denotes the number of heads.
    (ii) A fair die is rolled 10 times and X denotes the number of times 4 appeared.

  7. 4 x 3 = 12
  8. Three fair coins are tossed simultaneously. Find the probability mass function for number of heads occurred

  9. Suppose a discrete random variable can only take the values 0, 1, and 2. The probability mass function is defined by
    \(\\ \\ \\ \\ \\ f(x)=\begin{cases} \begin{matrix} \frac { { x }^{ 2 }+1 }{ k } & forx=0,1,2 \end{matrix} \\ \begin{matrix} 0 & otherwise \end{matrix} \end{cases}\\ \\ \\ \\ \\ \\ \)
    Find
    (i) the value of k
    (ii) cumulative distribution function
    (iii) P(X ≤ 1).

  10. Two balls are drawn in succession without replacement from an urn containing four red balls and three black balls. Let X be the possible outcomes drawing red balls. Find the probability mass function and mean for X.

  11. If X is the random variable with distribution function F(x) given by,
    \(F(x)=\begin{cases} \begin{matrix} 0 & x<0 \end{matrix} \\ \begin{matrix} x & 0\le x<1 \end{matrix} \\ \begin{matrix} 1 & 1\le x \end{matrix} \end{cases}\) 
    then find (i) the probability density function f (x) (ii) P(0.2≤ X ≤0.7)

  12. 3 x 5 = 15
  13. The probability density function of X is given
    \(f(x)=\begin{cases} \begin{matrix} { Ke }^{ \frac { -x }{ 3 } } & \begin{matrix} for & x>0 \end{matrix} \end{matrix} \\ \begin{matrix} 0 & \begin{matrix} for & x\le 0 \end{matrix} \end{matrix} \end{cases}\)
    Find
    (i) the value of k
    (ii) the distribution function.
    (iii) P(X <3)
    (iv) P(5 ≤X)
    (v) P(X ≤ 4)

  14. A commuter train arrives punctually at a station every half hour. Each morning, a student leaves his house to the train station.Let X denote- the amount of time, in minutes that the student waits for the train from the time he reaches the train station. It is known  that the pdf of X is 
    \(f(x)=\begin{cases} \begin{matrix} \frac { 1 }{ 3 } & 0<x<30 \end{matrix} \\ \begin{matrix} 0 & elsewhere \end{matrix} \end{cases}\) 
    Obtain and interpret the expected value of the random variable X .

  15. A six sided die is marked ‘1’ on one face, ‘2’ on two of its faces, and ‘3’ on remaining three faces. The die is rolled twice. If X denotes the total score in two throws.
    (i) Find the probability mass function.
    (ii) Find the cumulative distribution function.
    (iii) Find P(3 ≤ X< 6) (iv) Find P(X ≥ 4) .

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