Scientists do not just describe living systems. They investigate them. This lesson shows how to ask a living-systems question, plan a safe method, collect or use data, identify patterns and write an evidence-based conclusion.
Use the PDF for classwork, homework or revision. It includes key ideas, activities, questions, an extend task and success-criteria proof.
Write a first answer before reading. Think about evidence, data and method.
This prepares you for the real-world anchor later in the lesson.
Good scientific investigation is structured. It does not jump straight from a question to a claim.
At Stage 4, students should be able to recognise the core sequence of a simple investigation: ask a question, make a prediction, plan a safe method, collect data, find patterns and then write a conclusion supported by the evidence.
One Stage 4 example is investigating how exercise affects breathing rate or pulse rate using safe classroom procedures. Another example is using secondary-source data about plant water uptake or transpiration. In both cases, the key is the same: process data and use it to explain system behaviour.
| Condition | Breathing rate (breaths/min) | Pattern |
|---|---|---|
| Resting | 14 | Lowest recorded rate |
| After short exercise | 24 | Rate increased |
| After recovery | 17 | Rate dropped toward resting value |
A conclusion should answer the investigation question using the evidence collected. At this level, that means referring to patterns in the table, graph or observations, and linking them back to the living-system idea being studied.
This is why Working Scientifically matters in this unit. Learning about living systems is stronger when students can ask questions, process information, identify patterns and justify conclusions with evidence.
Wrong: A conclusion should always agree with the prediction no matter what the data shows.
Right: A scientific conclusion must come from the data, even if the result is different from what was predicted.
Wrong: Only laboratory experiments count as scientific investigations.
Right: Investigations can use primary data you collect yourself or secondary data from published sources.
Right: Unexpected data is still valuable. It can lead to new questions and deeper understanding of the living system.
Annotated table showing breathing rate data with highlighted patterns and trends.
A scientific investigation uses a question, prediction, method, data and conclusion.
Data should be processed to identify patterns, trends or relationships.
A conclusion should come from the data, not just from an expectation.
Investigations help explain how living systems behave and respond under different conditions.
Write a simple living-systems question and a prediction for an investigation about breathing rate, pulse rate or plant water movement.
Using the example table in the lesson, write one pattern and one evidence-based conclusion.
Claim: State what the data shows about the living system.
Evidence: Quote specific numbers or trends from the table.
Reasoning: Explain why those numbers support your claim about how the system responds.
1. Which sequence best matches a simple scientific investigation?
2. Why must an investigation method be safe and fair?
3. What is data in an investigation?
What is NOT data in an investigation?
4. In the example table, what pattern is shown?
5. What makes a conclusion scientific?
What is NOT makes a conclusion scientific?
6. Which option is an example of secondary-source data?
7. Why is identifying a pattern in the data important?
8. Which statement best describes a useful prediction?
9. Why is it weak to base a conclusion only on what you expected?
10. What is the strongest overall understanding of this lesson?
What is NOT the strongest overall understanding of this lesson?
Name the main parts of a simple scientific investigation. 1 mark for question/prediction, 1 mark for method/data, 1 mark for pattern/conclusion.
Use the example table to describe one pattern and one conclusion about the living system. 1 mark for identifying a correct pattern, 1 mark for describing it with numbers, 1 mark for a conclusion linked to the data, 1 mark for linking to system behaviour.
Why is it stronger to base a conclusion on data instead of only on a prediction? 1 mark for saying data shows what happened, 1 mark for saying prediction is only an expectation, 1 mark for explaining evidence-based reasoning, 1 mark for giving an example.
Return to your opening answer. Can you now explain more clearly why investigations need method, data and evidence-based conclusions?
1: C. This is the clearest investigation sequence.
2: A. Safe and fair methods matter because they help produce useful evidence.
3: D. Data is the information collected or provided for analysis.
4: B. The breathing rate rose after exercise and then moved back toward resting level.
5: A. Scientific conclusions must use evidence from the data.
6: C. Published results used for analysis are secondary-source data.
7: D. Patterns help explain what the evidence suggests.
8: B. A useful prediction includes a reason linked to the system.
9: A. Conclusions should come from data, not just expectation.
10: C. This captures the core investigation understanding of the lesson.
The main parts are a question, a prediction, a method, data and a conclusion. A strong investigation also identifies patterns in the data before the conclusion is written.
1 mark for question/prediction. 1 mark for method/data. 1 mark for pattern/conclusion.
One pattern is that breathing rate increased after exercise and then dropped back toward the resting value during recovery. One conclusion is that the body responded to exercise by changing breathing rate, then moved back toward its earlier level afterward.
1 mark for identifying a correct pattern. 1 mark for describing it with numbers. 1 mark for a conclusion linked to the data. 1 mark for linking to system behaviour.
It is stronger because data shows what actually happened in the investigation. A prediction is only an expectation. Scientific conclusions should be based on evidence collected, even if the result is different from what was predicted.
1 mark for saying data shows what happened. 1 mark for saying prediction is only an expectation. 1 mark for explaining evidence-based reasoning. 1 mark for giving an example.
Question, prediction, method, data, pattern and conclusion all matter.
Patterns in the data help explain how a living system behaves.
A conclusion should be based on the evidence, not just on what was expected.
Next lesson focuses on evidence-based explanations using data, tables and diagrams.