Objective

NNS

Possible Resources

Suggest a problem to explore using statistical methods, frame questions and raise conjectures.

Discuss how data relate to a problem; identify possible sources, including primary and secondary sources.

Handling data (248–275)

·             Design a survey or experiment to capture the necessary data from one or more sources; determine the sample size and degree of accuracy needed; design, trial and if necessary refine data collection sheets;

construct tables for large discrete and continuous sets of raw data, choosing suitable class intervals; design and use two-way tables.

Handling data (248–275)

Find summary values that represent the raw data, and select the statistics most appropriate to the problem.

·     Select, construct and modify, on paper and using ICT, suitable graphical representation to progress an enquiry, including:

- line graphs for time series;

- scatter graphs to develop further understanding of correlation; identify key features present in the data.

Handling data (248–275)

• Create a scatter graph

• Lines of best fit

• Interactive Scatter Diagram

   

Interpret graphs and diagrams and draw inferences to support or cast doubt on initial conjectures; have a basic understanding of correlation.

Handling data (248–275)

•   Gapminder

Compare two or more distributions and make inferences, using the shape of the distributions, the range of data and appropriate statistics.

Handling data (248–275)

• Making Comparisons

Communicate interpretations and results of a statistical enquiry using selected tables, graphs and diagrams in support, using ICT as appropriate.

Handling data (248–275)