Strand Progression Map

Foundation

• Collect, sort and compare data in response to questions in familiar contexts

Year 1

• Collect and record categorical data, create one-to-one displays, and compare data using frequencies

Year 2

• Collect, record, represent and interpret categorical data in response to questions
• Collect data in response to questions and interpret results

Year 3

• Conduct guided statistical investigations with categorical and discrete numerical data
• Record, represent and compare collected data

Year 4

• Create many-to-one data displays and assess suitability of displays for representing data
• Discuss the shape of distributions and variation in data
• Use surveys and digital tools to generate data in statistical investigations

Year 5

• Plan and conduct statistical investigations with categorical and numerical data using digital tools
• Identify the mode and interpret the shape of distributions
• Interpret and compare data represented in line graphs

Year 6

• Compare distributions of discrete, continuous numerical and ordinal categorical data sets
• Critique arguments presented in the media based on statistics

Year 7

• Plan and conduct statistical investigations with discrete and continuous numerical data
• Interpret shape of distribution and summary statistics; identify possible outliers
• Decide which measure of central tendency is most suitable and explain reasoning

Year 8

• Conduct statistical investigations and explain implications of sampling
• Analyse and describe the distribution of data
• Compare variation in random samples of different sizes from a given population

Year 9

• Compare and analyse distributions of multiple numerical data sets
• Describe features using summary statistics and shape of distributions; consider effect of outliers
• Explain how sampling techniques and representation can support or question conclusions

Year 10

• Plan and conduct statistical investigations involving bivariate data
• Represent distributions using tables and scatter plots; comment on possible association
• Analyse inferences and conclusions in the media, noting potential sources of bias