Year 8 Science · Unit 4 · Lesson 2
Challenge Worksheet
Learning Goals
Because… chain
A geologist starts with a qualitative observation and transforms it into useful ordinal data. Fill in the missing steps in the chain.
Overall outcome (what does the geologist now know?):
Design a data collection sheet
Design a data collection sheet for investigating the effect of exercise intensity on heart rate. Complete the table below with the requested information.
| Measurement | Data type (continuous / discrete / ordinal) | Units | Why this measurement is useful |
|---|---|---|---|
| Quantitative measurement 1 | |||
| Quantitative measurement 2 | |||
| Quantitative measurement 3 | |||
| Qualitative → semi-quantitative measurement |
1. Explain why a rating scale (e.g. "perceived effort: 1 = easy, 5 = exhausted") is considered ordinal data, not quantitative data. What limitation does this create for statistical analysis?
2. A student argues: "Qualitative data is useless because you can't graph it." Construct a counter-argument using at least one real Australian scientific example from the lesson.
Wrap Up
In one sentence, what was the main idea of this lesson?