Comparing summaries of data
I can use the different measures of central tendency and spread to compare two sets of data.
Comparing summaries of data
I can use the different measures of central tendency and spread to compare two sets of data.
Lesson details
Key learning points
- Statistical summaries of data can be used to make inferences about that data.
- Two sets of statistical summaries can be used to compare the respective data sets.
- Statistical summaries have their limitations.
Common misconception
If two datasets have the same mean, then the distribution of data points will look similar.
Even with the same mean, two datasets could have vastly different ranges. One dataset could be bimodal, whilst the other could be unimodal.
Keywords
Central tendency - is a summary measure that attempts to describe a whole dataset with a single value that represents the middle or centre of its distribution.
Spread - The spread/dispersion of data values describes how far apart the pieces of data are.
Dispersion - The spread/dispersion of data values describes how far apart the pieces of data are.
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).
Video
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Starter quiz
6 Questions
4
3
1
8
9
10
13
Exit quiz
6 Questions
typical value
middle value
most frequent value
how varied the data set is