MA32-07 Maths Coming soon
Outliers
MA32-07
This lesson is coming soon.
In this lesson
Identify an outlier in a data set or on a scatter graph, give a substantive reason for it, and know it may indicate a data error.
What it covers
- Identify an outlier in a list of values or on a scatter graph
- Give a substantive, contextual reason for why a point is an outlier (not a circular restatement of the definition)
- Know an outlier may indicate an error in the data
- Distinguish 'outlier' from 'mode'
Key words
For: OCR GCSE J560, AQA GCSE 8300, Edexcel GCSE 1MA1, Eduqas GCSE C300
On the specification
| Board | Spec | Statement |
|---|---|---|
| OCR GCSE J560 | 12.03d | Identify an outlier in simple cases. |
| AQA GCSE 8300 | S4 | • including box plots |
| Edexcel GCSE 1MA1 | S4 | interpret, analyse and compare the distributions of data sets from univariate empirical distributions through: • appropriate graphical representation involving discrete, continuous and grouped data • appropriate measures of central tendency (median, mean, mode and modal class) and spread (range, including consideration of outliers) |
| Eduqas GCSE C300 | FS4 | Interpret, analyse and compare the distributions of data sets from univariate empirical distributions through: appropriate graphical representation involving discrete, continuous and grouped data; appropriate measures of central tendency (median, mean, mode and modal class) and spread (range, including consideration of outlier) |
| Eduqas GCSE C300 | HS5 | Interpret, analyse and compare the distributions of data sets from univariate empirical distributions through: appropriate graphical representation involving discrete, continuous and grouped data, including box plots; appropriate measures of central tendency (median, mean, mode and modal class) and spread (range, including consideration of outliers, quartiles and inter-quartile range) |
For teachers
This GCSE Maths lesson teaches outliers. By the end, students should be able to identify an outlier in a data set or on a scatter graph, give a substantive reason for it, and know it may indicate a data error. It works through two worked examples and the mistakes examiners report.