Question:

Let \( \{X_n\}_{n \geq 1} \) be a sequence of independent and identically distributed random variables each having probability density function

\[ f(x) = \begin{cases} e^{-x}, & x>0 \\ 0, & \text{otherwise} \end{cases} \]

Let \( X_{(n)} = \max\{ X_1, X_2, \dots, X_n \} \) for \( n \geq 1 \). If \( Z \) is the random variable to which

\[ \{ X_{(n)} - \log n \}_{n \geq 1} \]

converges in distribution, as \( n \to \infty \), then the median of \( Z \) equals

\[ \underline{\hspace{2cm}} \]

(round off to 2 decimal places).

Show Hint

To solve problems involving the maximum of independent random variables, use the properties of the distribution and the limiting behavior of the sequence.
Updated On: Dec 29, 2025
Hide Solution
collegedunia
Verified By Collegedunia

Correct Answer: 0.32

Solution and Explanation

To find the median of \( Z \), we examine the behavior of \( X_{(n)} \) and the limiting distribution of \( Z \) as \( n \to \infty \). Using standard results for the distribution of the maximum of independent identically distributed random variables, we find that the median of \( Z \) is approximately: \[ \text{Median}(Z) \approx 0.32. \] Thus, the value is \( 0.32 \).
Was this answer helpful?
0
0

Top Questions on Random Variables

View More Questions

Questions Asked in GATE ST exam

View More Questions