SHS2 Additional Mathematics · Semester 2, Week 15
Organising, Representing and Interpreting Data
Full lesson notes coming
Notes for this lesson are being prepared. The curriculum details below are complete and ready to use for your planning.
Curriculum details
- Strand
- Handling Data (Strand 4)
- Sub-strand
- Organising, Representing and Interpreting Data (4.1)
- Content standard
- 2.4.1.CS.1 - Apply techniques for collecting data, including census, sampling and observation in real life. 2.4.1.LO.1 Conduct research on a given situation, collect, organise, and represent the data graphically and explain the findings of the research using the graphs.
- Indicator
- 2.4.1.LI.2 - Perform analysis on a data set using appropriate techniques and tools and interpret findings.
- Suggested placement
-
Semester 2, Week 15
(Week 35 of the year)
Our suggestion, laid out in curriculum order across three terms of twelve weeks. NaCCA does not fix the week, so follow your school's scheme of learning.
- Curriculum reference
- NaCCA curriculum document, p. 414
Exemplars (from the NaCCA curriculum)
Project-based Learning, Talk for Learning, Group work, Presentation and Building on what others say. Learning Experience: Learners in groups analyse data collected from their research. Activity 1 Planning for data analysis Learners in their groups use data gathered from their research (e.g. waste air pollution, electricity or water billing, favourite food, etc.) and plan how to process the data. Activity 2 Processing and analysing data Learners in groups process the data gathered, represent it graphically and interpret the data. Examples of processing data include defining variables, categorising data, giving codes to variables, and removing missing data. Data analysis includes making tally tables, frequency counts or percentages, drawing graphs, computing means, mode, standard deviations, etc. Activity 3 Use of central tendencies to interpret data Learners in groups calculate measures of central tendencies and interpret their results. Learners in groups decide on an appropriate central measure of tendencies for analysing their data. Activity 4: Use of measure of dispersion to interpret data Learners in groups calculate measures of dispersion (standard deviation, variance, range, interquartile) for the data they collected and discuss their suitability for analysing their data and interpreting their results. Teaching and Learning Resources: - Real-life data samples from both the school community and/or outside the school community. - ICT tools Assessment (2.4.1.AS.2). The document marks no depth-of-knowledge level for this indicator.