1. **State the problem:** We are given the net worth (in billions) of a sample of the richest people: 59, 52, 28, 26, 19, 19, 18, 17, 17, 17.
We need to find the range, variance, and standard deviation of this data.
2. **Formulas and important rules:**
- Range = Maximum value - Minimum value
- Variance $\sigma^2 = \frac{1}{n} \sum_{i=1}^n (x_i - \bar{x})^2$ where $\bar{x}$ is the mean
- Standard deviation $\sigma = \sqrt{\sigma^2}$
3. **Calculate the range:**
- Maximum value = 59
- Minimum value = 17
- Range = $59 - 17 = 42$
4. **Calculate the mean $\bar{x}$:**
$$\bar{x} = \frac{59 + 52 + 28 + 26 + 19 + 19 + 18 + 17 + 17 + 17}{10} = \frac{272}{10} = 27.2$$
5. **Calculate each squared deviation $(x_i - \bar{x})^2$:**
- $(59 - 27.2)^2 = 31.8^2 = 1011.24$
- $(52 - 27.2)^2 = 24.8^2 = 615.04$
- $(28 - 27.2)^2 = 0.8^2 = 0.64$
- $(26 - 27.2)^2 = (-1.2)^2 = 1.44$
- $(19 - 27.2)^2 = (-8.2)^2 = 67.24$
- $(19 - 27.2)^2 = 67.24$
- $(18 - 27.2)^2 = (-9.2)^2 = 84.64$
- $(17 - 27.2)^2 = (-10.2)^2 = 104.04$
- $(17 - 27.2)^2 = 104.04$
- $(17 - 27.2)^2 = 104.04$
6. **Sum of squared deviations:**
$$1011.24 + 615.04 + 0.64 + 1.44 + 67.24 + 67.24 + 84.64 + 104.04 + 104.04 + 104.04 = 2159.6$$
7. **Calculate variance:**
$$\sigma^2 = \frac{2159.6}{10} = 215.96$$
8. **Calculate standard deviation:**
$$\sigma = \sqrt{215.96} \approx 14.7$$
**Final answers:**
- Range = 42
- Variance = 215.96
- Standard deviation $\approx$ 14.7
Net Worth Stats 923A4D
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