Find the mean of the following probability distribution?
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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![**Finding the Mean of a Probability Distribution**
In this exercise, we are tasked with finding the mean of the given probability distribution. The table provided outlines the values of \( x \) and their corresponding probabilities \( P(x) \).
| \( x \) | \( P(x) \) |
|---------|-------------|
| 0 | 0.0666 |
| 1 | 0.1178 |
| 2 | 0.1716 |
| 3 | 0.3764 |
| 4 | 0.2676 |
**Instructions:**
To calculate the mean (\( \mu \)) of this probability distribution, use the formula:
\[
\mu = \sum{x \cdot P(x)}
\]
**Calculation:**
Compute \( \mu \) using the given table:
\[
\mu = (0 \times 0.0666) + (1 \times 0.1178) + (2 \times 0.1716) + (3 \times 0.3764) + (4 \times 0.2676)
\]
After calculating, the mean is found to be **2.6606**.
This computed mean represents the expected value of the random variable \( x \) based on its probability distribution.
**User Interface:**
- A button labeled **"Submit Question"** is available below the calculation area.
- Score details indicate the score of the last attempt, in this case, "0 of 1 pts".
This exercise aids in understanding how to calculate the mean of a probability distribution, a fundamental concept in statistics.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa3654de1-42e9-4d17-bf59-5215f61295d8%2Fe838ff85-fe80-44d2-89fb-23118c1aec3c%2Fc82ol5n.jpeg&w=3840&q=75)
Transcribed Image Text:**Finding the Mean of a Probability Distribution**
In this exercise, we are tasked with finding the mean of the given probability distribution. The table provided outlines the values of \( x \) and their corresponding probabilities \( P(x) \).
| \( x \) | \( P(x) \) |
|---------|-------------|
| 0 | 0.0666 |
| 1 | 0.1178 |
| 2 | 0.1716 |
| 3 | 0.3764 |
| 4 | 0.2676 |
**Instructions:**
To calculate the mean (\( \mu \)) of this probability distribution, use the formula:
\[
\mu = \sum{x \cdot P(x)}
\]
**Calculation:**
Compute \( \mu \) using the given table:
\[
\mu = (0 \times 0.0666) + (1 \times 0.1178) + (2 \times 0.1716) + (3 \times 0.3764) + (4 \times 0.2676)
\]
After calculating, the mean is found to be **2.6606**.
This computed mean represents the expected value of the random variable \( x \) based on its probability distribution.
**User Interface:**
- A button labeled **"Submit Question"** is available below the calculation area.
- Score details indicate the score of the last attempt, in this case, "0 of 1 pts".
This exercise aids in understanding how to calculate the mean of a probability distribution, a fundamental concept in statistics.
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