An appliance dealer sells three different models of upright freezers having 13.5, 15.9, and 19.1 cubic feet of storage space, respectively. Let X = the amount of storage space purchased by the next customer to buy a freezer. Suppose that X has pmf 13.5 15.9 19.1 P(x) .2 .4 .4 a. Compute E(X) b. Compute E(X²) c. Compute V(X).
An appliance dealer sells three different models of upright freezers having 13.5, 15.9, and 19.1 cubic feet of storage space, respectively. Let X = the amount of storage space purchased by the next customer to buy a freezer. Suppose that X has pmf 13.5 15.9 19.1 P(x) .2 .4 .4 a. Compute E(X) b. Compute E(X²) c. Compute V(X).
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![### Probability and Expected Value of Storage Space for Upright Freezers
An appliance dealer sells three different models of upright freezers having 13.5, 15.9, and 19.1 cubic feet of storage space, respectively. Let \(X\) be the amount of storage space purchased by the next customer to buy a freezer. Suppose that \(X\) has the probability mass function (pmf) given by the following table:
| \( x \) | 13.5 | 15.9 | 19.1 |
|-----------|------|------|------|
| \( P(x) \)| 0.2 | 0.4 | 0.4 |
#### a. Compute \(E(X)\)
The expected value \(E(X)\) of a random variable \(X\) with pmf \(P(x)\) is calculated using the formula:
\[ E(X) = \sum_{i} x_i P(x_i) \]
Thus,
\[ E(X) = (13.5 \times 0.2) + (15.9 \times 0.4) + (19.1 \times 0.4) \]
#### b. Compute \(E(X^2)\)
The expected value of \(X^2\) is calculated using the formula:
\[ E(X^2) = \sum_{i} x_i^2 P(x_i) \]
Thus,
\[ E(X^2) = (13.5^2 \times 0.2) + (15.9^2 \times 0.4) + (19.1^2 \times 0.4) \]
#### c. Compute \(V(X)\)
The variance \(V(X)\) of a random variable \(X\) is given by:
\[ V(X) = E(X^2) - [E(X)]^2 \]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F09be519a-ecc7-4175-9d84-84c7122026ed%2Fee2e34ec-f524-4580-b827-d2f7d199be86%2Fbvs4v0f_processed.png&w=3840&q=75)
Transcribed Image Text:### Probability and Expected Value of Storage Space for Upright Freezers
An appliance dealer sells three different models of upright freezers having 13.5, 15.9, and 19.1 cubic feet of storage space, respectively. Let \(X\) be the amount of storage space purchased by the next customer to buy a freezer. Suppose that \(X\) has the probability mass function (pmf) given by the following table:
| \( x \) | 13.5 | 15.9 | 19.1 |
|-----------|------|------|------|
| \( P(x) \)| 0.2 | 0.4 | 0.4 |
#### a. Compute \(E(X)\)
The expected value \(E(X)\) of a random variable \(X\) with pmf \(P(x)\) is calculated using the formula:
\[ E(X) = \sum_{i} x_i P(x_i) \]
Thus,
\[ E(X) = (13.5 \times 0.2) + (15.9 \times 0.4) + (19.1 \times 0.4) \]
#### b. Compute \(E(X^2)\)
The expected value of \(X^2\) is calculated using the formula:
\[ E(X^2) = \sum_{i} x_i^2 P(x_i) \]
Thus,
\[ E(X^2) = (13.5^2 \times 0.2) + (15.9^2 \times 0.4) + (19.1^2 \times 0.4) \]
#### c. Compute \(V(X)\)
The variance \(V(X)\) of a random variable \(X\) is given by:
\[ V(X) = E(X^2) - [E(X)]^2 \]
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