Suppose a random variable X has probability distribution function 2kx 2+1> for x = 2, 3 kr P(X = x) = 72 _]; for ax = 4,5 0, otherwise. where k is a numerical constant. Using the value of k, calculate the value of F(2.5) and F(4). O 32/75 and 8/9 O 8/19 and 1/9 о 8/33 аnd 74/99 O 4/7 and 37/21

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**Question 5**

Suppose a random variable \( X \) has a probability distribution function

\[
P(X = x) = 
\begin{cases} 
\frac{2kx}{x^2 + 1}, & \text{for } x = 2, 3 \\ 
\frac{kx}{x^2 - 1}, & \text{for } x = 4, 5 \\ 
0, & \text{otherwise}. 
\end{cases}
\]

where \( k \) is a numerical constant.

**Using the value of \( k \), calculate the value of \( F(2.5) \) and \( F(4) \).**

- \( \frac{32}{75} \) and \( \frac{8}{9} \)
- \( \frac{8}{19} \) and \( \frac{1}{9} \)
- \( \frac{8}{33} \) and \( \frac{74}{99} \)
- \( \frac{4}{7} \) and \( \frac{37}{21} \)
Transcribed Image Text:**Question 5** Suppose a random variable \( X \) has a probability distribution function \[ P(X = x) = \begin{cases} \frac{2kx}{x^2 + 1}, & \text{for } x = 2, 3 \\ \frac{kx}{x^2 - 1}, & \text{for } x = 4, 5 \\ 0, & \text{otherwise}. \end{cases} \] where \( k \) is a numerical constant. **Using the value of \( k \), calculate the value of \( F(2.5) \) and \( F(4) \).** - \( \frac{32}{75} \) and \( \frac{8}{9} \) - \( \frac{8}{19} \) and \( \frac{1}{9} \) - \( \frac{8}{33} \) and \( \frac{74}{99} \) - \( \frac{4}{7} \) and \( \frac{37}{21} \)
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