Statistics
From describing data to modelling it: regression and exponential models, conditional probability, and the normal distribution. These pages cover DfE content areas L (data presentation and interpretation), M (probability) and N (statistical distributions).
- An Overview — the big ideas, the language, and the common mistakes across Year 2 statistics
The content statements
- Regression and Exponential Models — interpreting r and y = a + bx, interpolation and extrapolation, and linearising y = kbˣ and y = axⁿ
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Conditional Probability — P(A B) from two-way tables, Venn diagrams and tree diagrams, independence, and modelling - The Normal Distribution — properties, standardising, inverse normal, and finding an unknown mean or standard deviation
- Choosing a Distribution — binomial or normal, the normal approximation with continuity correction, and checking a model against data
Each page has step-by-step notes, several worked examples, a quick-reference grid and ten practice questions with fully worked solutions.