1
Ask a data question
Distinguish questions answered by data from non-statistical questions.
Chapter route
Statistics
This chapter page turns the high-level subject view into an ordered learning slice, with direct links from curriculum items into topic and skill detail.
Ordered curriculum items
Each curriculum item can now route into topic and skill-level detail.
2
Collect useful data
Plan data values needed to answer an investigative question.
3
Make a data table
Arrange raw observations into a readable table.
4
Make a frequency table
Count occurrences and summarise data values or categories.
5
Choose the right graph
Select graph types based on categorical or numerical data.
6
Read bar graphs
Extract comparisons and conclusions from bar graphs.
7
Draw bar graphs
Represent categorical data using labelled bars and suitable scale.
8
Read stacked bars
Interpret part-whole relationships in stacked bars.
9
Read 100% stacked bars
Compare proportional composition across categories.
10
Find mean
Compute average by dividing total by number of observations.
11
Find median
Order data and identify the middle value or average of two middle values.
12
Find mode
Identify the most frequently occurring value.
13
Compare averages
Understand how different measures describe the centre of data.
14
Find weighted average
Use weights to calculate an average when values do not contribute equally.
15
Understand weighted average
Use weighted average for marks, ratings and mixtures.
16
Use graphs to decide
Answer questions and justify conclusions from visual data.
17
Spot misleading graphs
Check scale, labels and representation before trusting a graph.
18
Analyse data step by step
Follow a process of asking, collecting, organising, visualising and interpreting.
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