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Year 10 - Maths

Outliers in scatter graphs

Graphical representations of data: scatter graphs and time series

Unit Summary

In this unit pupils will learn how to interpret and extract data from scatter graphs and time series graphs.

Lesson Summary

You will learn to recognise outliers and understand whether they should be included in the data set.

Key Notes

  • Outliers can be visually seen on a scatter graph.
  • Outliers do not necessarily occur at the start/end of the data set.
  • Outliers must be carefully considered and only removed if they were recorded in error.

Vocabulary To Learn

  • Outlier: An outlier is a data point that is extremely large or small compared to the rest of the dataset. Visually, outliers lie far away from where the majority of the results are clustered.

Common Mistakes To Avoid

  • An outlier always has values that are outside the range of the dataset (i.e. at the start or end of a dataset).

3 Quick Questions (With Answers)

1. Solve this in steps: explain the method from this lesson and why each step matters.

Outliers can be visually seen on a scatter graph. Outliers do not necessarily occur at the start/end of the data set.

2. Use this key word in a maths sentence and explain it clearly. 'Outlier'

An outlier is a data point that is extremely large or small compared to the rest of the dataset. Visually, outliers lie far away from where the majority of the results are clustered. Use this word when showing your method, then check your final answer is reasonable.

3. Spot and fix this common maths mistake.

Mistake: An outlier always has values that are outside the range of the dataset (i.e. at the start or end of a dataset). Correction: For bivariate data, a data point may be distinct from the rest of the data because the value of one of its variable is extremely less/greater than other points that have a similar value in its other variable.

More Lessons In This Unit

Browse all guides in the Year 10 Maths guide library.