Problem solving with numerical summaries of data
I can use my understanding of various data summaries to solve problems.
Problem solving with numerical summaries of data
I can use my understanding of various data summaries to solve problems.
Lesson details
Key learning points
- Stated conclusions should be critically evaluated to ensure validity.
- Certain statistical summaries may be omitted in the real world.
- In order to make more accurate conclusions, you need the data set and the conditions it was collected in.
Common misconception
Reporting two averages when asked to make two comparisons between sets of data.
Mean, media and mode essentially measure the same thing: central tendency. So use one of the comparisons to comment on the spread of data.
Keywords
Statistical summary - A statistical summary sums up the features of a data set.
Central tendency - A summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution
Range - The range is a measure of spread. It is found by finding the difference between the highest and lowest values
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).
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Starter quiz
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