Probability Scores 0.25 0.05 2 0.4 6 0.1 11 0.15 12 0.05 14 Find the variance of the above random variable random variable.

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### Variance of a Random Variable

Below is a table listing the probabilities and corresponding scores for a random variable:

| Probability | Scores |
|-------------|--------|
| 0.25        | 0      |
| 0.05        | 2      |
| 0.4         | 6      |
| 0.1         | 11     |
| 0.15        | 12     |
| 0.05        | 14     |

To calculate the variance of the given random variable, you can use the following formula:

\[ \text{Variance} (\sigma^2) = \sum (P(x) \times (x - \mu)^2 ) \]

Where:
- \( P(x) \) is the probability of the random variable \( x \).
- \( \mu \) is the expected value (mean) of the random variable.

First, calculate the expected value (\(\mu\)):

\[ \mu = \sum (P(x) \times x) \]

Then, use the expected value to find the variance.

**Task:**
Find the variance of the above random variable.

**Note:** The above is intended for educational purposes to understand the concept and calculation of variance in probability and statistics.
Transcribed Image Text:### Variance of a Random Variable Below is a table listing the probabilities and corresponding scores for a random variable: | Probability | Scores | |-------------|--------| | 0.25 | 0 | | 0.05 | 2 | | 0.4 | 6 | | 0.1 | 11 | | 0.15 | 12 | | 0.05 | 14 | To calculate the variance of the given random variable, you can use the following formula: \[ \text{Variance} (\sigma^2) = \sum (P(x) \times (x - \mu)^2 ) \] Where: - \( P(x) \) is the probability of the random variable \( x \). - \( \mu \) is the expected value (mean) of the random variable. First, calculate the expected value (\(\mu\)): \[ \mu = \sum (P(x) \times x) \] Then, use the expected value to find the variance. **Task:** Find the variance of the above random variable. **Note:** The above is intended for educational purposes to understand the concept and calculation of variance in probability and statistics.
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