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Suppose that X and Y are two random variables with c.d.f. \(F_{1}\) and \(F_{2}\) respectively, where

\[ F_{1}(x) = \begin{cases} 0 & \text{if } x \lt 0 \\ 2/3 & \text{if } 0 \le x \lt 1 \\ 1 & \text{if } x \ge 1 \end{cases} \]

and

\[ F_{2}(x) = \begin{cases} 0 & \text{if } x \lt 0 \\ \sqrt{x} & \text{if } 0 \le x \lt 1 \\ 1 & \text{if } x \ge 1 \end{cases} \]

Then, which of the following statements is true ?

  • A.E(X) = E(Y)
  • B.E(X) = 2/3 and E(Y) = 1/3
  • C.E(X) = 1/3 and E(Y) = 1/2
  • D.E(X) = 1/3 and E(Y) = 1/6

Answer: A

The true statement is E(X) = E(Y); both equal \(\frac{1}{3}\).

\(F_{1}\) has jumps of \(\frac{2}{3}\) at 0 and \(\frac{1}{3}\) at 1, so X is discrete with \(E(X) = 0 \cdot \frac{2}{3} + 1 \cdot \frac{1}{3} = \frac{1}{3}\).

\(F_{2}(x) = \sqrt{x}\) on [0, 1) is continuous with density \(\frac{1}{2\sqrt{x}}\), so

\[ \begin{aligned} E(Y) &= \int_{0}^{1} x \cdot \frac{1}{2\sqrt{x}}\,dx \\ &= \frac{1}{2}\int_{0}^{1} \sqrt{x}\,dx = \frac{1}{3} \end{aligned} \]

Option B takes the jump at 0 as the mean of X. Options C and D have the right E(X) but the wrong E(Y): \(\frac{1}{2}\) is the mean of a uniform variable, and \(\frac{1}{6}\) halves the correct value.

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