Outliers in scatter graphs
I can recognise outliers and understand whether they should be included in the data set.
Outliers in scatter graphs
I can recognise outliers and understand whether they should be included in the data set.
Lesson details
Key learning points
- 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.
Keywords
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 misconception
An outlier always has values that are outside the range of the dataset (i.e. at the start or end of a dataset).
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.
Licence
This content is © Oak National Academy Limited (2024), licensed on Open Government Licence version 3.0 except where otherwise stated. See Oak's terms & conditions (Collection 2).
Lesson video
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Starter quiz
6 Questions
Exit quiz
6 Questions
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