Decide which data to collect to answer a question, and the degree of accuracy needed; identify possible sources.

Collect data using a suitable method, such as observation, controlled experiment, including data logging using ICT, or questionnaire.

Calculate statistics, including with a calculator; recognise when it is appropriate to use the range, mean, median and mode.

Construct, on paper and using ICT:

pie charts for categorical data;

bar charts and frequency diagrams for discrete data;

identify which are most useful in the context of the problem.

Construct and use stem-and-leaf diagrams.

Core:

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

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.

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.

Extension:

Identify possible sources of bias and plan how to minimise it.

Find the median and quartiles for large data sets; estimate the mean, median and interquartile range of a large set of grouped data.

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

frequency polygons;

lines of best fit by eye, understanding what they represent.

Key Vocabulary:

Support: bar chart, pie chart, frequency diagram, line graph, distance-time graph, frequency, discrete, continuous.

## Objectives:

Support:Construct, on paper and using ICT:pie charts for categorical data;bar charts and frequency diagrams for discrete data;identify which are most useful in the context of the problem.Core: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;Extension:Identify possible sources of bias and plan how to minimise it.## Key Vocabulary:

Core: data:(raw data, representative, bias, census, sample, primary / secondary source, two-way table, discrete, continuous);statistics: (estimate of mean / median, cumulative frequency, distribution, stem-and leaf diagram).Extension: data:(raw data, representative, bias, census, sample, primary / secondary source, data log, two-way table, discrete, continuous);statistics: (estimate of mean / median, cumulative frequency, distribution, stem-and leaf diagram);data display:(line of best fit, cumulative frequency graph, scatter graph).## Suggested Lesson Outcomes:

SUPPORT TARGET

CORE## Framework:

## Teaching & Learning Resources:

Data Handling Resources

Planning Resources

Questionnaires Resources

Frequency Tables Resources

Pie Charts Resources

Bar ChartsResources

Line Graphs Resources

Scatter Graph Resources

Quartiles Resources