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4.14 Discrete and continuous random variablesIB Maths: Analysis and Approaches HL: Subtopic test

10 questions, 27 marks

IB Maths: Analysis and Approaches HL

4.14 Discrete and continuous random variables

Total 27 marks

Name

Class

Date

  1. 1
    In a game, a player spins a spinner once. The score XX has probability distribution P(X=0)=0.1P(X = 0) = 0.1, P(X=1)=0.3P(X = 1) = 0.3, P(X=2)=0.4P(X = 2) = 0.4 and P(X=3)=0.2P(X = 3) = 0.2. It is given that E(X)=1.7E(X) = 1.7.
    (a)
    Find E(X2)E(X^2).
    [1 mark]
    • A2.892.89
    • B1414
    • C3.73.7
    • D3.43.4
    (b)
    Find Var(X)\mathrm{Var}(X).
    [1 mark]
    • A0.810.81
    • B2.02.0
    • C0.90.9
    • D6.596.59
    (c)
    To play, the player pays 8 dollars and then receives 5 dollars for every point scored. Let YY be the player's gain in dollars. Find E(Y)E(Y) and determine whether the game is fair.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    The continuous random variable XX has probability density function f(x)=kx2(3−x)f(x) = kx^2(3 - x) for 0≤x≤30 \le x \le 3, and f(x)=0f(x) = 0 otherwise, where kk is a positive constant.
    (a)
    Find the value of kk.
    [1 mark]
    • A274\frac{27}{4}
    • B127\frac{1}{27}
    • C16\frac{1}{6}
    • D427\frac{4}{27}
    (b)
    Find the mode of XX.
    [1 mark]
    • A33
    • B22
    • C1.51.5
    • D1.81.8
    (c)
    Find E(X)E(X).
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    The time XX minutes that a passenger waits for a bus is modelled by the probability density function f(x)={kx,0≤x≤2k(6−x)2,2<x≤60,otherwisef(x) = \begin{cases} kx, & 0 \le x \le 2 \\ \frac{k(6 - x)}{2}, & 2 < x \le 6 \\ 0, & \text{otherwise} \end{cases} where kk is a positive constant.
    (a)
    Show that k=16k = \frac{1}{6}.
    [3 marks]
    (b)
    Find the median waiting time, giving your answer in exact form and correct to three significant figures.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    A car park has a maximum stay of 4 hours. The time TT hours that a car stays is modelled by the probability density function f(t)=t8f(t) = \frac{t}{8} for 0≤t≤40 \le t \le 4, and f(t)=0f(t) = 0 otherwise. The charge for a stay of TT hours is CC dollars, where C=3+2.5TC = 3 + 2.5T.
    (a)
    Find E(T)E(T) and Var(T)\mathrm{Var}(T).
    [6 marks]
    (b)
    (i) Find the mean and the standard deviation of the charge CC.
    (ii) Find the probability that a randomly chosen car pays more than the mean charge.
    [6 marks]

    Total for question 4: 12 marks

End of questions