EZ Statistics

Range, Variance, Standard Deviation

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Range

Definition

The range is the difference between the largest and smallest values in a dataset, measuring the total spread of values.

Formula

Range=xmaxxmin\text{Range} = x_{max} - x_{min}

Example

For the numbers: 2,4,7,8,112, 4, 7, 8, 11

Range=112=9\text{Range} = 11 - 2 = 9

Key Points

  • Simple to calculate but sensitive to outliers
  • Only uses two values, ignoring all values in between

Variance

Definition

The variance measures how far a set of numbers are spread out from their mean. It's calculated as the average squared difference from the mean.

Formula

Sample Variance:

s2=i=1n(xixˉ)2n1s^2 = \frac{\sum_{i=1}^{n} (x_i - \bar{x})^2}{n-1}

Population Variance:

σ2=i=1N(xiμ)2N\sigma^2 = \frac{\sum_{i=1}^{N} (x_i - \mu)^2}{N}

Example

For the numbers: 2,4,4,62, 4, 4, 6

Mean = 4

s2=(24)2+(44)2+(44)2+(64)241=4+0+0+43=832.67\begin{align*} s^2 &= \frac{(2-4)^2 + (4-4)^2 + (4-4)^2 + (6-4)^2}{4-1} \\ &= \frac{4 + 0 + 0 + 4}{3} = \frac{8}{3} \approx 2.67 \end{align*}

Key Points

  • Uses squared differences, making it sensitive to outliers
  • Units are squared (e.g., if data is in meters, variance is in meters squared)

Standard Deviation

Definition

The standard deviation is the square root of the variance, providing a measure of spread in the same units as the original data.

Formula

Sample Standard Deviation:

s=i=1n(xixˉ)2n1s = \sqrt{\frac{\sum_{i=1}^{n} (x_i - \bar{x})^2}{n-1}}

Population Standard Deviation:

σ=i=1N(xiμ)2N\sigma = \sqrt{\frac{\sum_{i=1}^{N} (x_i - \mu)^2}{N}}

Example

Using the previous variance example:

s=2.671.63s = \sqrt{2.67} \approx 1.63

Key Points

  • In same units as original data, making it more interpretable than variance
  • Approximately 68% of data falls within one standard deviation of the mean in a normal distribution

Related Links

Coefficient of Variation (CV) Calculator

Percentile, Quartile Calculator

Normal Distribution Calculator

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