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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Question
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.](https://content.bartleby.com/qna-images/question/ffe96887-fbda-42a8-abec-8c2855a00602/b41464db-28ed-44d3-b182-d77d3856b2e4/og3j3v_thumbnail.jpeg)
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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