Describing Data: Centre and Spread

20 min
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Descriptive statistics summarise a data set. Measures of centre:

  • Mean — add all values and divide by how many: xˉ=xn\bar{x} = \dfrac{\sum x}{n}.
  • Median — the middle value once the data is sorted.
  • Mode — the most frequent value.

Measures of spread: the range (max - min) and the standard deviation, which measures typical distance from the mean.

The variance averages the squared distances from the mean; the standard deviation σ\sigma is its square root, back in the original units.

Worked example. For 2,4,4,4,5,5,7,92,4,4,4,5,5,7,9 the mean is 408=5\dfrac{40}{8}=5. The squared deviations are 9,1,1,1,0,0,4,169,1,1,1,0,0,4,16, summing to 3232. Population variance =328=4=\dfrac{32}{8}=4, so σ=4=2\sigma=\sqrt{4}=2.

Find the mean of 4,8,6,10,24, 8, 6, 10, 2.

Find the median of 3,7,2,9,53, 7, 2, 9, 5.

Which measure of centre is least affected by a single extreme outlier?

Find the population standard deviation of 2,4,4,4,5,5,7,92,4,4,4,5,5,7,9.