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Mathematics and Statistics Skills
Drawing conclusions from numerical data
- 3 things to know
- All three papers
Overview
What a conclusion is and the figures it needs, describing against concluding, anomalies, using averages, comparing means alongside sample sizes, stating confidence, mistaking a link for a cause, summing up a trend and returning to the original question.
What you need to know
Answer each one before you reveal it.
What is a conclusion in a piece of data analysis?
What must every conclusion be backed up with?
Questions from this subtopic
Each one with the model answer underneath.
- 1
What is a conclusion in a piece of data analysis?
Model answer
A statement of what the figures show in answer to the question that was asked, supported by the results themselves.
- 2
What must every conclusion be backed up with?
Model answer
Specific figures taken from the results, quoted with their units, rather than a general impression of them.
- 3
What is the difference between describing figures and concluding from them?
Model answer
Describing says what the numbers do, while a conclusion says what that means for the question being investigated.
- 4
What should be said about a reading that does not fit the pattern?
Model answer
It should be named as an anomaly, located, and given a possible explanation, rather than quietly ignored.
- 5
How does working out an average help in reaching a conclusion?
Model answer
It reduces a set of readings to one typical value, so different sites or different dates can be compared fairly.
- 6
Why is it worth saying how confident you are in a conclusion?
Model answer
Because a small sample or a short run of records makes the conclusion less certain, and saying so is more honest than stating it flatly.
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