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Comparing distributions and choosing a measure

Mathematics — first biennium · Lesson

Biennium · Common core

Comparing distributions and choosing a measure

A measure is useful only when it answers the right question. The mean is sensitive to extreme values; the median is more robust. Spread should be read together with the representation and numerical measures.

Key idea
Formula matematica
Similar example
Formula matematica

Prerequisites: Measures of centre and spread

Goal: Critically choose measures of centre and spread in the presence of extreme values and compare the graph with the numbers.

What you need to know before the exercises

In this lesson: Critically choose measures of centre and spread in the presence of extreme values and compare the graph with the numbers.

New concept: One measure is not enough to compare distributions: centre and spread answer different questions. An outlier is a value far from the others and can strongly increase range, variance and standard deviation.

How to proceed: Do not choose the mean automatically. First look for values far from the rest and compare the graph with the numerical measures.

You can already assume: Measures of centre and spread.

Data view

Read the diagram too

SVG

A: A — regular distribution · B: B — with an extreme value

Teaching diagram for data or probability The dot plot preserves every observation: B's extreme value is immediately visible and explains why mean and range react more than the median. AB66881010121214141616181820202222

The dot plot preserves every observation: B's extreme value is immediately visible and explains why mean and range react more than the median.

Try it now

Compare the two datasets and choose the most informative measure when an extreme value is present.

Guided

Completed exercises: 0/5 · Correct on first attempt: 0

How to reason

Do not choose the mean automatically. First look for values far from the rest and compare the graph with the numerical measures.

Data / situation: A: 7, 8, 9, 10, 11. B: 7, 8, 9, 10, 21.

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What you need to know for Comparing distributions and choosing a measure

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