Statistics.
Sample fairly, represent data clearly and compare distributions with justified conclusions. Use supplied data to evaluate claims, then plan a small investigation.
Work through the topic
Learn the method, follow the examples, then try the worksheet.
- 01
Sampling and survey quality
Choose a sample that can answer a question fairly, and spot bias before calculating.
- 02
Population estimates and uncertainty
Use a sample proportion to estimate a population count, while keeping uncertainty visible.
- 03
Comparing data sets
Compare typical values and variation together instead of deciding from one statistic.
- 04
Comparative stem-and-leaf/dot/frequency displays
Read and construct displays that preserve observations and reveal frequencies.
- 05
Centre, spread, shape and outliers
Choose centre and spread thoughtfully, noticing shape and the influence of unusual values.
- 06
Misleading graphs and representations
Check scales, denominators and missing context before accepting a statistical claim.
- 07
Choosing a display for the data
Choose a display that suits the variable and the comparison you want to make.
- 08
Designing and reporting an investigation
Complete a small investigation from a fair question to a justified conclusion.
Topic review
Revisit the key ideas, then choose a practice paper.