Interpret diagrams for single-variable data, including understanding that area in a histogram represents frequency, histograms, frequency polygons, box and whisker plots (including outliers) and cumulative frequency diagrams. Connect to probability distributions.
Representation of sample data (Variables )
Qualitative variables Non-numerical – e.g. red, blue or long, short etc. Quantitative variables Numerical – e.g. length, age, time, number of coins in pocket, etc
Continuous variables Can take any value within a given range – e.g. height, time, age, etc.
Discrete variables Can only take certain values – e.g. shoe size, cost in £ and p, number of coins.
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