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Statistical Modelling (Edexcel International AS Maths: Statistics 1)
Revision Note
Statistical Modelling
What is a statistical model?
- A statistical model allows you to use mathematics to model real-life situations
- You could model the temperature throughout of a city throughout a month
- You could model the sleeping times of a baby
- There are advantages to using a statistical model
- It simplifies the complicated real-life situation
- It can be made quickly and easily
- It can be used to make predictions for real-life
- There are also things to consider when using a statistical model
- It does not consider all the real-life features from the situation
- It might only be applicable for specific scenarios
- It might not provide accurate predictions for the future
What are the stages of a statistical model?
- Stage 1
A real-life problem is identified - Stage 2
An initial statistical model is designed - Stage 3
The model is used to make predictions - Stage 4
Real-life data is collected - Stage 5
Comparisons are made between the expected values from the model and the observed values from the data - Stage 6
Consideration of the data selection and collection processes alongside statistical tests are used to assess the validity of the model - Stage 7
The model is adjusted and improved (if necessary) based on the results
Examiner Tip
- Questions on statistical modelling are rare but it is worth remembering the steps. Easy marks if it comes up.
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