the accompanying table provides a probability distribution for the number of major hurricanes, Y, for a randomly selected year between 1851 and 2012. Complete parts a) through (c) below. Click the icon to view the distribution of hurricanes. a. Find and interpret the mean of the random variable. = (Round to three decimal places as needed.) 1 X Distribution of Major Hurricanes y P(Y=y) y P(Y=y) 0 0.184 5 0.051 1 0.283 0.021 2 0.245 0.011 3 0.072 0.085 4 0.048 Help me solve this View an example Get more help. Print 6 7 8 Done Clear all Check answer

MATLAB: An Introduction with Applications
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### Distribution of Major Hurricanes

The accompanying table provides a probability distribution for the number of major hurricanes, Y, for a randomly selected year between 1851 and 2012. Complete parts (a) and (b) below.

#### Part (a)
Find and interpret the mean of the random variable \( \mu \) = [Instructions here], rounding to three decimal places as needed.

#### Distribution of Major Hurricanes

| Y | P(Y=y)   |
|---|----------|
| 0 | 0.1845   |
| 1 | 0.2383   |
| 2 | 0.2383   |
| 3 | 0.1684   |
| 4 | 0.0726   |
| 5 | 0.0307   |
| 6 | 0.0131   |
| 7 | 0.0051   |
| 8 | 0.0054   |
| 9 | 0.0054   |

#### Instructions:
1. Find the mean (μ) for the given probability distribution. Use the formula:
\[ μ = \sum (Y \times P(Y=y)) \]
2. Interpret the mean in the context of this distribution.

#### Part (b)
[Remainder of instructions and content for part (b)]

For help solving the problem or viewing an example, see the "Help me solve this" or "View an example" options.

### Additional Resources
- Learning & Resources
- Accessibility Resources
- Communication Tools

Remember to click "Done" once you have completed the interpretation, and you can also use the "Print" option if needed.

---

**Note**: This text is for educational purposes, guiding users through calculating and interpreting the mean of a probability distribution. The table displayed is a distribution of major hurricanes based on the provided data.
Transcribed Image Text:### Distribution of Major Hurricanes The accompanying table provides a probability distribution for the number of major hurricanes, Y, for a randomly selected year between 1851 and 2012. Complete parts (a) and (b) below. #### Part (a) Find and interpret the mean of the random variable \( \mu \) = [Instructions here], rounding to three decimal places as needed. #### Distribution of Major Hurricanes | Y | P(Y=y) | |---|----------| | 0 | 0.1845 | | 1 | 0.2383 | | 2 | 0.2383 | | 3 | 0.1684 | | 4 | 0.0726 | | 5 | 0.0307 | | 6 | 0.0131 | | 7 | 0.0051 | | 8 | 0.0054 | | 9 | 0.0054 | #### Instructions: 1. Find the mean (μ) for the given probability distribution. Use the formula: \[ μ = \sum (Y \times P(Y=y)) \] 2. Interpret the mean in the context of this distribution. #### Part (b) [Remainder of instructions and content for part (b)] For help solving the problem or viewing an example, see the "Help me solve this" or "View an example" options. ### Additional Resources - Learning & Resources - Accessibility Resources - Communication Tools Remember to click "Done" once you have completed the interpretation, and you can also use the "Print" option if needed. --- **Note**: This text is for educational purposes, guiding users through calculating and interpreting the mean of a probability distribution. The table displayed is a distribution of major hurricanes based on the provided data.
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