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1.1.5 Statistical Modelling
What is a statistical model?
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
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
Questions on statistical modelling are rare but it is worth remembering the steps. Easy marks if it comes up.