Use the table below to find the expected value, variance, and standard deviation x P(x) xP(x) 2 0.1 4 0.3 6 0.4 8 0.2 0.2 1.2 2.4 1.6 Expected Value μ = Variance ² Standard Deviation o = (x-μ)² P(x) 1.156 0.588 0.144 1.352

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Use the table below to find the expected value, variance, and standard deviation.

| \( x \) | \( P(x) \) | \( xP(x) \) | \( (x - \mu)^2 P(x) \) |
|-------|---------|---------|----------------|
| 2     | 0.1     | 0.2     | 1.156          |
| 4     | 0.3     | 1.2     | 0.588          |
| 6     | 0.4     | 2.4     | 0.144          |
| 8     | 0.2     | 1.6     | 1.352          |

**Expected Value \( \mu \) =** [blank]

**Variance \( \sigma^2 \) =** [blank]

**Standard Deviation \( \sigma \) =** [blank]
Transcribed Image Text:Use the table below to find the expected value, variance, and standard deviation. | \( x \) | \( P(x) \) | \( xP(x) \) | \( (x - \mu)^2 P(x) \) | |-------|---------|---------|----------------| | 2 | 0.1 | 0.2 | 1.156 | | 4 | 0.3 | 1.2 | 0.588 | | 6 | 0.4 | 2.4 | 0.144 | | 8 | 0.2 | 1.6 | 1.352 | **Expected Value \( \mu \) =** [blank] **Variance \( \sigma^2 \) =** [blank] **Standard Deviation \( \sigma \) =** [blank]
Expert Solution
Step 1

Given data;

x P(x) xP(x) (x-μ)2P(x)
2 0.1 0.2 1.156
4 0.3 1.2 0.588
6 0.4 2.4 0.144
8 0.2 1.6 1.352
Total P(x)=1 xP(x)=5.4 (x-μ)2P(x)=3.24
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