For the proprablility distribution table below: x² X 0 1 2 3 με 4 P(x) 0.26 0.2 0 = 0.22 0.15 Find the mean. Round to two decimal places. 0.17 Find the standard deviation. Round to three decimal places. xP(x) x² P(x)

MATLAB: An Introduction with Applications
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The image depicts a probability distribution table and prompts for calculating the mean and standard deviation. Below is a detailed transcription suitable for an educational website.

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### Probability Distribution Table

The table below represents a probability distribution with values of \(x\) and corresponding probabilities \(P(x)\). Additional columns are provided for calculations involving \(x^2\), \(xP(x)\), and \(x^2P(x)\).

| \(x\) | \(P(x)\) | \(x^2\) | \(xP(x)\) | \(x^2P(x)\) |
|-------|----------|--------|----------|------------|
| 0     | 0.26     |        |          |            |
| 1     | 0.2      |        |          |            |
| 2     | 0.22     |        |          |            |
| 3     | 0.15     |        |          |            |
| 4     | 0.17     |        |          |            |

#### Instructions:
- **Find the mean (\( \mu \)).** Round your answer to two decimal places.
  
  \(\mu = \_\_\_\)
  
- **Find the standard deviation (\( \sigma \)).** Round your answer to three decimal places.
  
  \(\sigma = \_\_\_\)

Use the columns to calculate \(xP(x)\) and \(x^2P(x)\) as part of the process for finding the mean and standard deviation. This table helps in systematically analyzing discrete probability distributions and deriving statistical measures.

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This transcribed content provides a structured format suitable for educational purposes, guiding students to compute essential statistical measures from a given probability distribution.
Transcribed Image Text:The image depicts a probability distribution table and prompts for calculating the mean and standard deviation. Below is a detailed transcription suitable for an educational website. --- ### Probability Distribution Table The table below represents a probability distribution with values of \(x\) and corresponding probabilities \(P(x)\). Additional columns are provided for calculations involving \(x^2\), \(xP(x)\), and \(x^2P(x)\). | \(x\) | \(P(x)\) | \(x^2\) | \(xP(x)\) | \(x^2P(x)\) | |-------|----------|--------|----------|------------| | 0 | 0.26 | | | | | 1 | 0.2 | | | | | 2 | 0.22 | | | | | 3 | 0.15 | | | | | 4 | 0.17 | | | | #### Instructions: - **Find the mean (\( \mu \)).** Round your answer to two decimal places. \(\mu = \_\_\_\) - **Find the standard deviation (\( \sigma \)).** Round your answer to three decimal places. \(\sigma = \_\_\_\) Use the columns to calculate \(xP(x)\) and \(x^2P(x)\) as part of the process for finding the mean and standard deviation. This table helps in systematically analyzing discrete probability distributions and deriving statistical measures. --- This transcribed content provides a structured format suitable for educational purposes, guiding students to compute essential statistical measures from a given probability distribution.
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