Statistics

Collecting, presenting and interpreting data — from choosing a fair sample to summarising it and spotting what does not fit. Covers DfE content areas K (statistical sampling) and L (data presentation and interpretation).

• An Overview — the statistical cycle, the language, the core techniques and the common mistakes

The content statements

• Statistical Sampling — populations, samples and sampling frames; random and non-random methods; bias
• Presenting Data — histograms and frequency density, cumulative frequency, box plots and comparing distributions
• Measures of Location and Spread — mean, median, quartiles and percentiles, interpolation, variance and standard deviation
• Correlation and Outliers — scatter diagrams, regression lines, correlation and causation, outliers and cleaning data

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Each page has step-by-step notes, several worked examples, a quick-reference grid and ten practice questions with fully worked solutions.