42. A large insurance agency provides services to a number of customers who have purchased both a homeowner's policy and an automobile policy. For each type of policy, a deductible amount must be specified. Let x denote the homeowner's deductible amount and y denote the automobile deductible amount for a customer who has both types of poli- cies. The joint mass function of x and y is as follows: y auto f(x, y) 250 500 200 .20 .10 .20 me 500 .05 .15 .30 a. What proportion of customers have $500 de- ductible amounts for both types of policies? b. What proportion of customers have both de- ductible amounts less than $500? c. What is the marginal mass function of x? What is the marginal mass function of y?

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I mostly need help with part C of 42 and question 45.  This is ungraded homework. 

Refer to Exercise 42. Compute the covariance between \( x \) and \( y \) and then the value of the population correlation coefficient. Do these two variables appear to be strongly related? Explain.
Transcribed Image Text:Refer to Exercise 42. Compute the covariance between \( x \) and \( y \) and then the value of the population correlation coefficient. Do these two variables appear to be strongly related? Explain.
**Educational Website Content:**

---

**Topic: Understanding Joint Mass Functions in Insurance**

**Introduction:**
A large insurance agency provides services to customers who have purchased both a homeowner's policy and an automobile policy. Each policy requires a specified deductible amount. Let \( x \) represent the homeowner’s deductible, and \( y \) represent the automobile deductible for customers with both policies.

**Joint Mass Function Explanation:**

The joint mass function \( f(x, y) \) is given as follows:

| \( x \) \\ \( y \) | 0    | 250  | 500  |
|---------------------|------|------|------|
| 200                 | 0.20 | 0.10 | 0.20 |
| 500                 | 0.05 | 0.15 | 0.30 |

**Table Details:**

- The table describes the probabilities of different combinations of deductibles for a homeowner’s and an automobile policy.
- For example, the value 0.20 in the first row and first column indicates that 20% of customers have a deductible of $200 for their homeowner's policy and $0 for their automobile policy.

**Questions:**

a. **What proportion of customers have $500 deductible amounts for both types of policies?**

   - The probability of both deductibles being $500 is 0.30 or 30%.

b. **What proportion of customers have both deductible amounts less than $500?**

   - The probability of both deductibles being less than $500 is the sum of the probabilities for \((x, y) = (200, 0)\), \((200, 250)\), and \((500, 0)\):
     \[
     0.20 + 0.10 + 0.05 = 0.35 \text{ or } 35\%
     \]

c. **What is the marginal mass function of \( x \)? What is the marginal mass function of \( y \)?**

   - **Marginal mass function of \( x \):**
     - For \( x = 200 \), \( f(x = 200) = 0.20 + 0.10 + 0.20 = 0.50 \)
     - For \( x = 500 \), \( f(x = 500) = 0.05 + 0.15 + 0.30 =
Transcribed Image Text:**Educational Website Content:** --- **Topic: Understanding Joint Mass Functions in Insurance** **Introduction:** A large insurance agency provides services to customers who have purchased both a homeowner's policy and an automobile policy. Each policy requires a specified deductible amount. Let \( x \) represent the homeowner’s deductible, and \( y \) represent the automobile deductible for customers with both policies. **Joint Mass Function Explanation:** The joint mass function \( f(x, y) \) is given as follows: | \( x \) \\ \( y \) | 0 | 250 | 500 | |---------------------|------|------|------| | 200 | 0.20 | 0.10 | 0.20 | | 500 | 0.05 | 0.15 | 0.30 | **Table Details:** - The table describes the probabilities of different combinations of deductibles for a homeowner’s and an automobile policy. - For example, the value 0.20 in the first row and first column indicates that 20% of customers have a deductible of $200 for their homeowner's policy and $0 for their automobile policy. **Questions:** a. **What proportion of customers have $500 deductible amounts for both types of policies?** - The probability of both deductibles being $500 is 0.30 or 30%. b. **What proportion of customers have both deductible amounts less than $500?** - The probability of both deductibles being less than $500 is the sum of the probabilities for \((x, y) = (200, 0)\), \((200, 250)\), and \((500, 0)\): \[ 0.20 + 0.10 + 0.05 = 0.35 \text{ or } 35\% \] c. **What is the marginal mass function of \( x \)? What is the marginal mass function of \( y \)?** - **Marginal mass function of \( x \):** - For \( x = 200 \), \( f(x = 200) = 0.20 + 0.10 + 0.20 = 0.50 \) - For \( x = 500 \), \( f(x = 500) = 0.05 + 0.15 + 0.30 =
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