large auto dealership keep track of sales and lease agreements made during each hour of the day. Let X = the number of cars sold and Y = the number of cars leased during the first hour of business on a randomly selected friday. Based on previous records, the distribution of X and Y are as follows:
large auto dealership keep track of sales and lease agreements made during each hour of the day. Let X = the number of cars sold and Y = the number of cars leased during the first hour of business on a randomly selected friday. Based on previous records, the distribution of X and Y are as follows:
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Question
A large auto dealership keep track of sales and lease agreements made during each hour of the day. Let X = the number of cars sold and Y = the number of cars leased during the first hour of business on a randomly selected friday. Based on previous records, the distribution of X and Y are as follows:
![### Question 6
A large auto dealership keeps track of sales and lease agreements made during each hour of the day. Let \( X \) = the number of cars sold and \( Y \) = the number of cars leased during the first hour of business on a randomly selected Friday. Based on previous records, the distributions of \( X \) and \( Y \) are as follows:
\[
\mu_X = 1.1 \quad \text{and} \quad \sigma_X = 0.943 \quad \quad \mu_Y = 0.7 \quad \text{and} \quad \sigma_Y = 0.64
\]
The dealership’s manager receives a $500 bonus for each car sold and a $300 bonus for each car leased. Find the mean and standard deviation of the manager’s total bonus \( B \). *(Hint: This combines linear transformations AND combining random variables)*
**Options:**
- A. \(\mu_B = \$550\) \quad \(\sigma_B = \$471.50\) \quad (Go to Question #5)
- B. \(\mu_B = \$210\) \quad \(\sigma_B = \$192\) \quad (Go to Question #7)
- C. \(\mu_B = \$760\) \quad \(\sigma_B = \$663.50\) \quad (Go to Question #2)
- D. \(\mu_B = \$760\) \quad \(\sigma_B = \$509.09\) \quad (Go to Question #3)
---
This question requires understanding the application of linear transformations and how to combine random variables to calculate the mean and standard deviation of a new variable, such as a bonus in this context. There are no graphs or diagrams in the image.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F705ec10c-a0b0-4d88-a56a-a4b44d8ef485%2F14f8ecab-dfae-4962-adce-474193930a6e%2F0vpuzz8.jpeg&w=3840&q=75)
Transcribed Image Text:### Question 6
A large auto dealership keeps track of sales and lease agreements made during each hour of the day. Let \( X \) = the number of cars sold and \( Y \) = the number of cars leased during the first hour of business on a randomly selected Friday. Based on previous records, the distributions of \( X \) and \( Y \) are as follows:
\[
\mu_X = 1.1 \quad \text{and} \quad \sigma_X = 0.943 \quad \quad \mu_Y = 0.7 \quad \text{and} \quad \sigma_Y = 0.64
\]
The dealership’s manager receives a $500 bonus for each car sold and a $300 bonus for each car leased. Find the mean and standard deviation of the manager’s total bonus \( B \). *(Hint: This combines linear transformations AND combining random variables)*
**Options:**
- A. \(\mu_B = \$550\) \quad \(\sigma_B = \$471.50\) \quad (Go to Question #5)
- B. \(\mu_B = \$210\) \quad \(\sigma_B = \$192\) \quad (Go to Question #7)
- C. \(\mu_B = \$760\) \quad \(\sigma_B = \$663.50\) \quad (Go to Question #2)
- D. \(\mu_B = \$760\) \quad \(\sigma_B = \$509.09\) \quad (Go to Question #3)
---
This question requires understanding the application of linear transformations and how to combine random variables to calculate the mean and standard deviation of a new variable, such as a bonus in this context. There are no graphs or diagrams in the image.
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