Data presentation and interpretation

AS Level

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

  • Connect to probability distributions

  • 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

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

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

  • 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 outlier