infer properties of populations or distributions from a sample, whilst knowing the limitations of sampling

interpret and construct tables, charts and diagrams, including frequency tables, bar charts, pie charts and pictograms for categorical data, vertical line charts for ungrouped discrete numerical data, and know their appropriate use

including tables and line graphs for time series data

Notes: including choosing suitable statistical diagrams.

construct and interpret diagrams for grouped discrete data and continuous data, ie histograms with equal and unequal class intervals and cumulative frequency graphs, and know their appropriate use

interpret, analyse and compare the distributions of data sets from univariate empirical distributions through:

- appropriate graphical representation involving discrete, continuous and grouped data
- including box plots
- appropriate measures of central tendency (median, mean, mode and modal class) and spread (range, including consideration of outliers)
- including quartiles and inter-quartile range

Notes: students should know and understand the terms: primary data, secondary data, discrete data and continuous data.

apply statistics to describe a population

use and interpret scatter graphs of bivariate data

recognise correlation

know that it does not indicate causation

draw estimated lines of best fit

make predictions

interpolate and extrapolate apparent trends whilst knowing the dangers of so doing

Notes: students should know and understand the terms: positive correlation, negative correlation, no correlation, weak correlation and strong correlation.