Mean, Median, Mode, and Range

Calculate and interpret measures of center and variability for data sets.

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Mean, Median, Mode, and Range

Mean (Average)

Add all values and divide by the number of values:

Mean=Sum of all valuesNumber of values\text{Mean} = \frac{\text{Sum of all values}}{\text{Number of values}}

Example: Data: 4,7,9,3,124, 7, 9, 3, 12 Mean=4+7+9+3+125=355=7\text{Mean} = \frac{4 + 7 + 9 + 3 + 12}{5} = \frac{35}{5} = 7

Median (Middle Value)

  1. Put values in order from least to greatest
  2. Find the middle value

Odd number of values: 3,4,7,9,123, 4, 7, 9, 12 → Median = 77

Even number of values: 3,4,7,93, 4, 7, 9 → Median = 4+72=5.5\frac{4 + 7}{2} = 5.5

Mode (Most Common)

The value that appears most often.

Example: 2,3,3,5,7,3,82, 3, 3, 5, 7, 3, 8 → Mode = 33

A data set can have:

  • One mode
  • More than one mode (bimodal, multimodal)
  • No mode (all values appear once)

Range (Spread)

Range=MaximumMinimum\text{Range} = \text{Maximum} - \text{Minimum}

Example: 3,4,7,9,123, 4, 7, 9, 12 → Range = 123=912 - 3 = 9

Which Measure to Use?

| Situation | Best Measure | |-----------|-------------| | Symmetric data, no outliers | Mean | | Skewed data or outliers | Median | | Categorical data | Mode | | How spread out | Range |

Effect of Outliers

An outlier is a value much larger or smaller than the rest.

Data: 5,6,7,8,1005, 6, 7, 8, 100

  • Mean = 1265=25.2\frac{126}{5} = 25.2 (pulled up by outlier)
  • Median = 77 (not affected)

Key idea: The mean is sensitive to outliers; the median is resistant to outliers.

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