Interpret diagrams for single-variable data, including understanding that area in a histogram represents frequency.

Connect to probability distributions.

Histograms and frequency polygons Box and whisker plots Cumulative frequency diagrams

Interpret scatter diagrams and regression lines for bivariate data, including recognition of scatter diagrams which include distinct sections of the population (calculations involving regression lines are excluded).

Understand informal interpretation of correlation.

Understand that correlation does not imply causation.

Scatter graphs Regression lines Correlation

Interpret measures of central tendency and variation, extending to standard deviation.

Be able to calculate standard deviation, including from summary statistics.

Mean, mode and median Variance and standard deviation Range and interquartile range Linear interpolation Coding data

Recognise and interpret possible outliers in data sets and statistical diagrams.

Select or critique data presentation techniques in the context of a statistical problem.

Be able to clean data, including dealing with missing data, errors and outliers.

Outliers and cleaning data Select or critique data presentation techniques