Understand and reason with statistics and data.
recognise and use appropriate data displays to investigate questions or claims for summary, comparison, and simple time series situations
Tally charts and frequency tables
Pictograms
Stem and leaf graphs
Bar graphs
Histograms
Dot plots and box and whisker graphs
Scatter graphs
Time series graphs
interpret data displays using features such as clustering, centrality, spread, unusual pieces of data, frequencies, and patterns
Measures of centre
Comparison of centre
Measures of spread
Comparison of spread
Shape
Shape for comparison
Outliers
Time series data intro
evaluate statements and representations made by others, based on data that is provided to them
Conclusions of summary statistics
Conclusions of relationship data (bivariate)
Conclusions for comparison data
The following fall outside the benchmark:
sampling
sample to population inference
reasoning with mean as a statistical measure of central tendency
gathering and organising data
This means these are not in the Numeracy CAA.