MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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The random variable is the number of persons living in a randomly selected occupied housing unit. Its probability distribution is as fallow

y 1 2 3 4 5 6 7 P ( Y = y ) 0.265 0.327 0.161 0.147 0.065 0.022 0.023 calculate the mean of the random variable Y calculate the standard deviation of the random variable Y

 

**Title: Understanding Probability Distribution of Random Variables**

---

**Introduction to Random Variable Y**

The random variable \( Y \) represents the number of persons living in a randomly selected occupied housing unit. The probability distribution of \( Y \) is given as follows:

| \( y \)     | 1     | 2     | 3     | 4     | 5     | 6     | 7     |
|-------------|-------|-------|-------|-------|-------|-------|-------|
| \( P(Y = y) \) | 0.265 | 0.327 | 0.161 | 0.147 | 0.065 | 0.022 | 0.013 |

**Tasks:**

*Please round your answers to three decimal places.*

**a) Calculate the mean (expected value) of the random variable \( Y \).**

The mean (expected value) of \( Y \) is denoted by \( E(Y) \) or \( \mu \). 

**Formula:**
\[ E(Y) = \mu = \sum_{i} y_i \cdot P(Y = y_i) \]

Fill this expected value in the provided space.

**b) Calculate the standard deviation of the random variable \( Y \).**

The standard deviation of \( Y \) is denoted by \( \sigma(Y) \).

**Formula:**
\[ \sigma(Y) = \sqrt{\sum_{i} (y_i - \mu)^2 \cdot P(Y = y_i)} \]

Fill this standard deviation in the provided space.

---

By understanding how to compute the mean and standard deviation of the random variable \( Y \), you can gain insights into the average number of persons per housing unit and the variability around this average. This information is useful for statistical analysis and decision-making in various fields such as urban planning and resource allocation.
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Transcribed Image Text:**Title: Understanding Probability Distribution of Random Variables** --- **Introduction to Random Variable Y** The random variable \( Y \) represents the number of persons living in a randomly selected occupied housing unit. The probability distribution of \( Y \) is given as follows: | \( y \) | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |-------------|-------|-------|-------|-------|-------|-------|-------| | \( P(Y = y) \) | 0.265 | 0.327 | 0.161 | 0.147 | 0.065 | 0.022 | 0.013 | **Tasks:** *Please round your answers to three decimal places.* **a) Calculate the mean (expected value) of the random variable \( Y \).** The mean (expected value) of \( Y \) is denoted by \( E(Y) \) or \( \mu \). **Formula:** \[ E(Y) = \mu = \sum_{i} y_i \cdot P(Y = y_i) \] Fill this expected value in the provided space. **b) Calculate the standard deviation of the random variable \( Y \).** The standard deviation of \( Y \) is denoted by \( \sigma(Y) \). **Formula:** \[ \sigma(Y) = \sqrt{\sum_{i} (y_i - \mu)^2 \cdot P(Y = y_i)} \] Fill this standard deviation in the provided space. --- By understanding how to compute the mean and standard deviation of the random variable \( Y \), you can gain insights into the average number of persons per housing unit and the variability around this average. This information is useful for statistical analysis and decision-making in various fields such as urban planning and resource allocation.
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