Using table attached, What is the average (theoretical) number of licensed dogs per household in this county? Possible answers: 1, 1.03, 0.92, and 0. Please show calculations and full work on how answers were obtained.
Using table attached, What is the average (theoretical) number of licensed dogs per household in this county? Possible answers: 1, 1.03, 0.92, and 0. Please show calculations and full work on how answers were obtained.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Using table attached, What is the average (theoretical) number of licensed dogs per household in this county?
Possible answers: 1, 1.03, 0.92, and 0.
Please show calculations and full work on how answers were obtained.

Transcribed Image Text:**Probability Distribution Table for Random Variable X**
This table represents the probability distribution of a discrete random variable X. The distribution shows the probability that X takes on specific values.
| Value of X | 0 | 1 | 2 | 3 | 4 | 5 |
|------------|-----|-----|-----|-----|-----|-----|
| Probability| 0.59| 0.11| 0.09| 0.07| 0.07| 0.02|
- **Value of X**: The potential outcomes or values that the random variable X may have.
- **Probability**: The likelihood of each outcome occurring. Each value represents the probability that X will be equal to the corresponding value.
This probability distribution is essential for understanding the behavior of the random variable X and is often used for statistical analysis and decision-making processes. The sum of all probabilities is 1, which is a fundamental property of probability distributions.
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