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How to teach scatterplots and two-way tables

Year 10 (ages 15 to 16)

Quick answer

Scatterplots and two-way tables both explore the relationship between two variables: a scatterplot for two numerical variables (plotted as points), and a two-way table for two categorical variables (organised as counts in a grid).

How to teach it

  1. Start by plotting real paired data (e.g. hours studied vs test score) as a scatterplot, then describe the pattern in words before naming it.
  2. Introduce positive correlation, negative correlation, and no correlation as three distinct patterns, with a labelled example of each.
  3. Move to two-way tables: organise categorical data (e.g. sport yes/no by instrument yes/no) into the four combination cells, checking they sum to the total.
  4. Discuss strength (how tightly points cluster) and direction (positive/negative) separately when describing a scatterplot.
  5. Caution that correlation, however strong, does not by itself prove one variable CAUSES the other.

Common mistakes

Frequently asked questions

What does a scatterplot show?

A scatterplot shows the relationship between two numerical variables, with each point representing one pair of values. The overall pattern reveals whether the variables are positively associated, negatively associated, or show no clear association.

What is the difference between positive and negative correlation?

In a positive correlation, as one variable increases the other tends to increase too. In a negative correlation, as one variable increases the other tends to decrease. No correlation means there is no consistent pattern.

What is a two-way table used for?

A two-way table organises data by two categories at once (e.g. plays sport by plays an instrument), letting you read off the count or probability for any combination of the two categories directly.

What year are scatterplots and two-way tables taught?

In the Australian Curriculum these are Year 10 skills: constructing and describing scatterplots (AC9M10ST03), two-way tables (AC9M10ST04), and investigating bivariate data more broadly (AC9M10ST05).

Practise with free worksheets

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