11–12Mathematics Life Skills 11–12 Syllabus (2024)
The new Mathematics Life Skills 11–12 Syllabus (2024) is to be implemented from 2026 and will replace the Mathematics Life Skills Stage 6 Syllabus (2017).
2026, Term 1
- Start teaching the new syllabus for Year 11
- Continue to teach the Mathematics Life Skills Stage 6 Syllabus (2017) for Year 12
2026, Term 4
- Start teaching the new syllabus for Year 12
Content
Life Skills
Through collaborative curriculum planning, it may be decided that Life Skills outcomes and content are the most appropriate option for some students with intellectual disability.
Identify where Loading is found in everyday contexts
Identify the purposes of collecting a set of data
Identify applications of statistics in everyday life
Identify ways that data is commonly presented
Recognise data that is misleading
Identify ways that data is commonly collected
Collect data using a range of methods
Organise data
Identify and locate common features of a Loading , including heading, Loading , key, axes and labels
Display data using an appropriate display and justify the choice
Identify misrepresentations of data in graphs and tables
Identify how data collection processes can be Loading
Pose questions and propose answers about a set of data
Extract information from graphs and tables
Interpret graphs, tables and datasets from a variety of common sources
Pose questions about a set of data
Recognise and describe trends and Loading from a set of data or a data display
Draw inferences or make generalisations from a set of data or a data display
Make predictions from a set of data or a data display
Propose answers about a set of data
Calculate the Loading for a small set of data
Draw conclusions about a set of data using statistics
Recognise and use the language of Loading
Recognise that some Loading are entirely related to chance while others are not
Recognise that the range of probabilities is from impossible to certain
Relate numerical representations of Loading from 0 (impossible) to 1 (certain)
Identify equally likely events
Recognise non-equally likely events
Understand the term random as applied to probability
Compare the likelihood of events based on their Loading
Express probabilities for events numerically
Compare the likelihood of events based on their numerical probability
Order events based on their probability
Conduct Loading to determine the experimental probability of an event
Compare probabilities with the results of experiments
Record and communicate results of a probability experiment
Recognise probability in everyday life
Identify uses of probability in society