Exercise 1 Prove that the variance of a geometric random variable X with parameter p is: (16) 9-1/14 p² Hint Recall that Var[X] = E[X²] - E[X]2. Use Equation (8) to find E[X²]. Var[X] =

Advanced Engineering Mathematics
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Chapter2: Second-order Linear Odes
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Exercise 1
**Exercise 1**  
Prove that the variance of a geometric random variable \( X \) with parameter \( p \) is:  
\[ \text{Var}[X] = \frac{q}{p^2} \]  
\[(16)\]

**Hint**  
Recall that \(\text{Var}[X] = E[X^2] - E[X]^2\). Use Equation (8) to find \(E[X^2]\).
Transcribed Image Text:**Exercise 1** Prove that the variance of a geometric random variable \( X \) with parameter \( p \) is: \[ \text{Var}[X] = \frac{q}{p^2} \] \[(16)\] **Hint** Recall that \(\text{Var}[X] = E[X^2] - E[X]^2\). Use Equation (8) to find \(E[X^2]\).
**Theorem 2.1**  
If \( X \) has a geometric distribution with parameter \( p \), then  
\[ E[X] = \frac{1}{p} \]  
(14)  

**Proof**   
Write  
\[ E[X] = \sum_{x=1}^{\infty} x q^{x-1} p \]  
\[ = \frac{p}{q} \sum_{x=0}^{\infty} x q^x \]  
Using Equation (4) with \( a = q \)  
\[ = \frac{p}{q} \left( \frac{q}{p^2} \right) = \frac{1}{p} \]  
(15)  

To give a numerical example, the average number of rolls of a pair of dice until the first roll of seven is 6.
Transcribed Image Text:**Theorem 2.1** If \( X \) has a geometric distribution with parameter \( p \), then \[ E[X] = \frac{1}{p} \] (14) **Proof** Write \[ E[X] = \sum_{x=1}^{\infty} x q^{x-1} p \] \[ = \frac{p}{q} \sum_{x=0}^{\infty} x q^x \] Using Equation (4) with \( a = q \) \[ = \frac{p}{q} \left( \frac{q}{p^2} \right) = \frac{1}{p} \] (15) To give a numerical example, the average number of rolls of a pair of dice until the first roll of seven is 6.
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