- MA4-DAT-C-01 classifies and displays data using a variety of graphical representations
📖 Prior Knowledge
| Content | Prerequisite relationships |
|---|---|
| Data A | - Construct column graphs with a many-to-one scale → Represent data with a variety of graphs - Interpret tables, column graphs and line graphs → Interpret graphs to draw conclusions |
| Data B | - Identify misleading data representations → Explain misleading graphs |
| Fractions Decimals Percentages | - Find a percentage of a quantity → Represent data with a variety of graphs |
Classify data as either numerical (discrete or continuous) or categorical (nominal or ordinal) variables.pdf
- Define a variable in the context of statistics as any characteristic, number or quantity that can be measured or counted
- Classify and describe variables as numerical or categorical
- Describe a numerical variable as either discrete or continuous
- Describe a categorical variable as nominal or ordinal
- Distinguish between and compare numerical (discrete or continuous) and categorical (nominal or ordinal) variables
Display data using graphical representations relevant to the purpose of the data.pdf
- Represent single datasets using graphs, including frequency histograms and polygons, dot plots, stem-and-leaf plots, divided bar graphs, column graphs, line graphs, sector graphs and pictograms, with or without digital tools
- Include sources, titles, labels and scales when displaying data in a graph
- Select the type of graph best suited to represent various single datasets and justify the choice of graph
- Represent a dataset using a statistical infographic and justify the choice of graphical representation used
Interpret data in graphical representations.pdf
- Identify and interpret data displayed on graphs
- Identify features of graphical representations to draw conclusions
- Interpret patterns in graphical representations to make predictions
- Explain why a given graphical representation can lead to a misinterpretation of data