Statistics / Unit 2: Describing Distributions
2.3 Standard Deviation
Notes
The standard deviation $s$ measures the typical distance of values from the mean. Larger $s$ means more spread.
- $\displaystyle s = \sqrt{\frac{\sum (x - \bar{x})^2}{n - 1}}$
- Steps: find $\bar{x}$, find each deviation $x - \bar{x}$, square them, add, divide by $n - 1$, take the square root.
- Example: 5, 9, 13 has $\bar{x} = 9$. Squared deviations: 16, 0, 16, total 32. $\displaystyle \frac{32}{2} = 16$, so $s = 4$.
- Adding a constant to every value changes the mean but not $s$. Multiplying every value by $k$ multiplies both the mean and $s$ by $|k|$.
Practice
What is the standard deviation of 5, 9, 13?
Squared deviations total 32, $\displaystyle \frac{32}{2} = 16$, and $\displaystyle \sqrt{16} = 4$.
Data set A is 48, 50, 52. Data set B is 40, 50, 60. Which has the larger standard deviation?
B's values lie farther from the mean of 50, so B has more spread.
A teacher adds 5 points to every test score. What happens?
Shifting every value moves the center but leaves the spread unchanged.
Ready for more? Take the Unit 2 test.