Science Unit 4 — Data Science ⏱ ~25 min Checkpoint 3

Checkpoint 3

Review the key ideas from Lessons 11-15, then test yourself with 10 multiple-choice questions and 3 short-answer questions.

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11

Claims, Evidence and Reasoning

Focus: A claim is a statement or conclusion that answers a scientific question. Reasoning explains why the evidence supports the claim using scientific principles.

Key terms: Claim, Evidence, Reasoning

12

Evaluating Data Quality

Focus: High-quality data is reliable, valid and sufficient to support a conclusion. Bias and error can reduce data quality at any stage of collection and analysis.

Key terms: Data quality, Reliability, Validity

13

Communicating Findings Clearly

Focus: Scientific communication must be clear, logical and appropriate for the audience. Good communication allows others to repeat, evaluate and extend your work.

Key terms: Scientific report, Abstract, Method

14

Mini Data Investigation

Focus: A mini investigation requires a clear question, a fair test and systematic data collection. Planning before collecting data saves time and improves the quality of results.

Key terms: Investigation, Hypothesis, Fair test

15

Unit Synthesis and Depth Study Preparation

Focus: A depth study is an extended independent investigation requiring planning, execution and communication. Successful depth studies depend on thorough planning, honest data handling and clear communication.

Key terms: Depth study, Synthesis, Independent investigation

1. Which component of a scientific argument explains why the evidence supports the claim?

AThe claim
BThe evidence
CThe reasoning
DThe hypothesis

2. A student says 'The metal expanded because heat increases particle vibration.' What part of CER is 'heat increases particle vibration'?

AClaim
BEvidence
CReasoning
DConclusion

3. Which best describes valid data?

AData that is consistent when repeated
BData that measures what it claims to measure
CData collected by a famous person
DData that supports your hypothesis

4. Why is peer review important for scientific data?

AIt makes the data longer
BIt allows other experts to check methods and conclusions
CIt guarantees the data is correct
DIt reduces the need for graphs

5. Which section of a scientific report tells others how to repeat the experiment?

AAbstract
BMethod
CDiscussion
DConclusion

6. Why should scientific conclusions use cautious language like 'suggests' rather than 'proves'?

AIt sounds more intelligent
BScientific evidence usually supports rather than absolutely proves a conclusion
CIt makes the report shorter
DIt is required by law

7. What is the first step in any scientific investigation?

AMaking a graph
BWriting a conclusion
CAsking a clear, testable question
DBuying equipment

8. Why is it important to decide on controlled variables before starting data collection?

AIt makes the experiment more expensive
BIt ensures the test is fair and the cause of any effect can be identified
CIt reduces the number of measurements needed
DIt makes the hypothesis easier to write

9. What distinguishes a depth study from a regular practical lesson?

AIt is shorter
BIt requires independent design and management of the investigation
CIt does not need a hypothesis
DIt only involves reading

10. Why is a project timeline important for a depth study?

AIt makes the report look professional
BIt helps manage time across multiple stages and prevents last-minute rushing
CIt reduces the amount of data needed
DIt guarantees better results
SA1

Explain the claim-evidence-reasoning framework and why all three components are necessary for a strong scientific argument. (5 marks)

Write your answer in your book.
SA2

Define reliability and validity, and explain why both are necessary for high-quality scientific data. Include an example where data might be reliable but not valid. (5 marks)

Write your answer in your book.
SA3

Describe the purpose of each section in a standard scientific report and explain how the sections work together to communicate findings. (5 marks)

Write your answer in your book.
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