Interpreting Data to Predict and Conclude progression

Learners can:

• talk about the shape of a data display in terms of symmetry, clusters and spread
• use terms such as most common, least common, unusual gaps or unusual peaks to describe features of the data set or display
• discuss or explain any differences between what their data set/display shows and what they had expected to find or see
• explain how data can be used to provide greater certainty and more accurate predictions.

Learners can:

• discuss the features of the normal curve and explain how it models the spread of a typical random variable (for example, height or weight)
• use two or more sample data sets to make generalisations about a larger population, estimating, for example, the mean of a particular variable, its spread or the likelihood of a particular event occurring
• compare data sets and displays as a means of learning to determine the reasonableness of their own generalisations
• identify and discuss sources of potential bias and distortion (in sampling methods and in statistical summaries and graphic displays)
• acknowledge sources of uncertainty, based on an awareness of variability.