Misleading charts and samples

See how a cut axis changes a graph, choose a chart for a statement, judge whether a survey sample is representative, and see that the same mean can hide very different spreads.

Guide

This studio is about honest statistics: how a chart or a number can give a wrong impression, and how to check it.

A value axis that does not start at 0 (the break mark shows it) makes small changes look huge. Always read the numbers on the axis and work out the real change, for example as a percentage.

Choose a chart for the statement you want to make: a pie chart for parts of one whole, a line graph for a development over time, a bar chart to compare groups.

A sample is representative when it is a small copy of the whole group. Asking only people at the football pitch, or only friends, gives a biased result. A random draw from a list of everyone is better.

An average alone can mislead: two groups can have the same mean and a very different range.