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Statistics · Data presentation

Chapter 1 · 3

The idea

Measures of spread, standard deviation and coding

Range, interquartile and interpercentile range, and — the big one — variance and standard deviation from sums Σx and Σx² (and Σfx, Σfx²). Plus coding: how a linear change of variable rescales the mean and standard deviation, and how to decode back to the original data.

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Statistics · Data presentation

Measures of spread, standard deviation and coding

Range, interquartile and interpercentile range, and — the big one — variance and standard deviation from sums Σx and Σx² (and Σfx, Σfx²). Plus coding: how a linear change of variable rescales the mean and standard deviation, and how to decode back to the original data.

Why it works

How scattered is it?

A measure of location tells you where the data sits; a measure of spread tells you how scattered it is. Two data sets can share a mean yet be wildly different — spread is what separates them.

The simple ranges.
  • Range == largest −- smallest. Quick, but ruined by a single outlier.
  • Interquartile range IQR=Q3−Q1\text{IQR} = Q_3 - Q_1 — the spread of the middle 50%50\%, so it ignores the extreme quarters and resists outliers.
  • Interpercentile range — e.g. the 10%10\% to 90%90\% range, P90−P10P_{90} - P_{10}.

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