A random variable X could have an expected value of -1. 1) True 2) False
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![### Understanding Random Variables and Expected Values
#### Question:
A random variable \( X \) could have an expected value of -1.
#### Options:
- \( \bigcirc \) 1) True
- \( \bigcirc \) 2) False
---
**Explanation:**
A random variable is a variable whose value is subject to variations due to chance. The expected value, also known as the mean, of a random variable is a measure of the center of its distribution. It is calculated as the sum of all possible values of the variable, each multiplied by its probability of occurring.
The expected value of a random variable can indeed be any real number, including negative values. This is because the calculation of the expected value takes into account the probabilities and the values that the random variable can assume. So, it is possible for a random variable \( X \) to have an expected value of -1.
To answer this question, select the option that you believe correctly evaluates the statement given.
---](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd4a137f1-306e-43d9-a6e4-0d0b6f174c73%2F0c3458c9-16d9-49ec-94ce-b43f7b106b85%2Fzktw346_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Understanding Random Variables and Expected Values
#### Question:
A random variable \( X \) could have an expected value of -1.
#### Options:
- \( \bigcirc \) 1) True
- \( \bigcirc \) 2) False
---
**Explanation:**
A random variable is a variable whose value is subject to variations due to chance. The expected value, also known as the mean, of a random variable is a measure of the center of its distribution. It is calculated as the sum of all possible values of the variable, each multiplied by its probability of occurring.
The expected value of a random variable can indeed be any real number, including negative values. This is because the calculation of the expected value takes into account the probabilities and the values that the random variable can assume. So, it is possible for a random variable \( X \) to have an expected value of -1.
To answer this question, select the option that you believe correctly evaluates the statement given.
---
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