Australian Curriculum v9 / ACiQ Year 10 Science - Unit 4 - Valid investigations, error control and replicable data
Valid investigations, error control and replicable data
Design valid, safe investigations using controls, calibration, adequate sampling, repeated measures and executable methods.
Updated 2026-07-26 - 12 min read
Valid investigations, error control and replicable data is taught here as a connected set of decisions, not a list of facts. Work through the prerequisite recall, explicit models, carefully faded examples, misconception repairs and transfer task before using the target in Check, Practice, Review or Rapid Revision.
This note is designed to work with the guided lessons, curated practice, flashcards, Tutor context, Review and Rapid Revision for the same canonical target. The same three evidence checks are used throughout, so feedback can route a learner back to the precise idea that needs repair.
Random and systematic error
Repeats estimate random variability; calibration, controls and method redesign address systematic error. Use the model to make a prediction, connect it to observable evidence and state any relevant condition or limitation.
A dependable reasoning routine
- Define the system or phenomenon and identify the change being explained.
- Trace the mechanism for random and systematic error in causal order rather than listing disconnected terms.
- Link each claim to an observation, measurement, model or accepted scientific relationship.
- State the boundary of the conclusion: what was tested, what remains uncertain and what evidence would strengthen it.
Repair: Replication cannot correct a consistently biased instrument.
The repair matters because the shortcut may appear to work in one familiar example while failing when the system boundary, causal mechanism, variable or evidence limit changes. Use the routine above to make the reasoning visible enough for another learner to verify.
Example 1.1
Which statement correctly explains random and systematic error?
Step 1 - identify the governing idea: Repeats estimate random variability; calibration, controls and method redesign address systematic error.
Step 2 - apply it to this evidence: It states the governing scientific relationship and its conditions.
Result: Repeats estimate random variability; calibration, controls and method redesign address systematic error.
The evidence-to-mechanism link is: It states the governing scientific relationship and its conditions. Notice that the conclusion does not extend beyond the stated system or evidence. A scientific explanation must trace cause and effect, not only name the relevant vocabulary.
Why the alternatives fail:
- More repeats remove every error. — It conflicts with the stated mechanism or evidence: It states the governing scientific relationship and its conditions.
- A single observation proves the claim in every context. — It changes the system boundary or claims a cause that the supplied observations do not establish.
- The scientific terms can be rearranged without changing the mechanism. — It extends the conclusion beyond the evidence. A valid answer must preserve the variables, sequence and uncertainty in the prompt.
Example 1.2
A student says: "More repeats remove every error." What is the best correction?
Step 1 - identify the governing idea: Repeats estimate random variability; calibration, controls and method redesign address systematic error.
Step 2 - apply it to this evidence: The correction identifies the precise conceptual error and replaces it with a testable explanation.
Result: Replication cannot correct a consistently biased instrument.
The evidence-to-mechanism link is: The correction identifies the precise conceptual error and replaces it with a testable explanation. Notice that the conclusion does not extend beyond the stated system or evidence. A scientific explanation must trace cause and effect, not only name the relevant vocabulary.
Why the alternatives fail:
- Repeat the claim with more technical vocabulary. — It conflicts with the stated mechanism or evidence: The correction identifies the precise conceptual error and replaces it with a testable explanation.
- Ignore conflicting evidence. — It changes the system boundary or claims a cause that the supplied observations do not establish.
- Treat the model as a literal picture with no limits. — It extends the conclusion beyond the evidence. A valid answer must preserve the variables, sequence and uncertainty in the prompt.
Example 1.3
A balance reads 0.5 g high every time. Error type?
Step 1 - identify the governing idea: Repeats estimate random variability; calibration, controls and method redesign address systematic error.
Step 2 - apply it to this evidence: The offset is consistent in direction.
Result: Systematic error
The evidence-to-mechanism link is: The offset is consistent in direction. Notice that the conclusion does not extend beyond the stated system or evidence. A scientific explanation must trace cause and effect, not only name the relevant vocabulary.
Why the alternatives fail:
- A conclusion that ignores the named mechanism — It conflicts with the stated mechanism or evidence: The offset is consistent in direction.
- An answer based on one familiar keyword — It changes the system boundary or claims a cause that the supplied observations do not establish.
- A claim that exceeds the available evidence — It extends the conclusion beyond the evidence. A valid answer must preserve the variables, sequence and uncertainty in the prompt.
Validity and control
Validity requires the method to isolate and measure the intended relationship while managing confounders. Use the model to make a prediction, connect it to observable evidence and state any relevant condition or limitation.
A dependable reasoning routine
- Define the system or phenomenon and identify the change being explained.
- Trace the mechanism for validity and control in causal order rather than listing disconnected terms.
- Link each claim to an observation, measurement, model or accepted scientific relationship.
- State the boundary of the conclusion: what was tested, what remains uncertain and what evidence would strengthen it.
Repair: Precision can coexist with measuring the wrong relationship.
The repair matters because the shortcut may appear to work in one familiar example while failing when the system boundary, causal mechanism, variable or evidence limit changes. Use the routine above to make the reasoning visible enough for another learner to verify.
Example 2.1
Which statement correctly explains validity and control?
Step 1 - identify the governing idea: Validity requires the method to isolate and measure the intended relationship while managing confounders.
Step 2 - apply it to this evidence: It states the governing scientific relationship and its conditions.
Result: Validity requires the method to isolate and measure the intended relationship while managing confounders.
The evidence-to-mechanism link is: It states the governing scientific relationship and its conditions. Notice that the conclusion does not extend beyond the stated system or evidence. A scientific explanation must trace cause and effect, not only name the relevant vocabulary.
Why the alternatives fail:
- A precise method is automatically valid. — It conflicts with the stated mechanism or evidence: It states the governing scientific relationship and its conditions.
- A single observation proves the claim in every context. — It changes the system boundary or claims a cause that the supplied observations do not establish.
- The scientific terms can be rearranged without changing the mechanism. — It extends the conclusion beyond the evidence. A valid answer must preserve the variables, sequence and uncertainty in the prompt.
Example 2.2
A student says: "A precise method is automatically valid." What is the best correction?
Step 1 - identify the governing idea: Validity requires the method to isolate and measure the intended relationship while managing confounders.
Step 2 - apply it to this evidence: The correction identifies the precise conceptual error and replaces it with a testable explanation.
Result: Precision can coexist with measuring the wrong relationship.
The evidence-to-mechanism link is: The correction identifies the precise conceptual error and replaces it with a testable explanation. Notice that the conclusion does not extend beyond the stated system or evidence. A scientific explanation must trace cause and effect, not only name the relevant vocabulary.
Why the alternatives fail:
- Repeat the claim with more technical vocabulary. — It conflicts with the stated mechanism or evidence: The correction identifies the precise conceptual error and replaces it with a testable explanation.
- Ignore conflicting evidence. — It changes the system boundary or claims a cause that the supplied observations do not establish.
- Treat the model as a literal picture with no limits. — It extends the conclusion beyond the evidence. A valid answer must preserve the variables, sequence and uncertainty in the prompt.
Example 2.3
Light and water both change in a plant test. Problem?
Step 1 - identify the governing idea: Validity requires the method to isolate and measure the intended relationship while managing confounders.
Step 2 - apply it to this evidence: Two plausible causes vary together.
Result: Confounding prevents attributing the effect
The evidence-to-mechanism link is: Two plausible causes vary together. Notice that the conclusion does not extend beyond the stated system or evidence. A scientific explanation must trace cause and effect, not only name the relevant vocabulary.
Why the alternatives fail:
- A conclusion that ignores the named mechanism — It conflicts with the stated mechanism or evidence: Two plausible causes vary together.
- An answer based on one familiar keyword — It changes the system boundary or claims a cause that the supplied observations do not establish.
- A claim that exceeds the available evidence — It extends the conclusion beyond the evidence. A valid answer must preserve the variables, sequence and uncertainty in the prompt.
Replicable methods and sampling
Methods require quantities, equipment, order, decision rules and sampling detail sufficient for an independent team. Use the model to make a prediction, connect it to observable evidence and state any relevant condition or limitation.
A dependable reasoning routine
- Define the system or phenomenon and identify the change being explained.
- Trace the mechanism for replicable methods and sampling in causal order rather than listing disconnected terms.
- Link each claim to an observation, measurement, model or accepted scientific relationship.
- State the boundary of the conclusion: what was tested, what remains uncertain and what evidence would strengthen it.
Repair: Reproducibility depends on recorded operational detail.
The repair matters because the shortcut may appear to work in one familiar example while failing when the system boundary, causal mechanism, variable or evidence limit changes. Use the routine above to make the reasoning visible enough for another learner to verify.
Example 3.1
Which statement correctly explains replicable methods and sampling?
Step 1 - identify the governing idea: Methods require quantities, equipment, order, decision rules and sampling detail sufficient for an independent team.
Step 2 - apply it to this evidence: It states the governing scientific relationship and its conditions.
Result: Methods require quantities, equipment, order, decision rules and sampling detail sufficient for an independent team.
The evidence-to-mechanism link is: It states the governing scientific relationship and its conditions. Notice that the conclusion does not extend beyond the stated system or evidence. A scientific explanation must trace cause and effect, not only name the relevant vocabulary.
Why the alternatives fail:
- Experienced scientists need only brief methods. — It conflicts with the stated mechanism or evidence: It states the governing scientific relationship and its conditions.
- A single observation proves the claim in every context. — It changes the system boundary or claims a cause that the supplied observations do not establish.
- The scientific terms can be rearranged without changing the mechanism. — It extends the conclusion beyond the evidence. A valid answer must preserve the variables, sequence and uncertainty in the prompt.
Example 3.2
A student says: "Experienced scientists need only brief methods." What is the best correction?
Step 1 - identify the governing idea: Methods require quantities, equipment, order, decision rules and sampling detail sufficient for an independent team.
Step 2 - apply it to this evidence: The correction identifies the precise conceptual error and replaces it with a testable explanation.
Result: Reproducibility depends on recorded operational detail.
The evidence-to-mechanism link is: The correction identifies the precise conceptual error and replaces it with a testable explanation. Notice that the conclusion does not extend beyond the stated system or evidence. A scientific explanation must trace cause and effect, not only name the relevant vocabulary.
Why the alternatives fail:
- Repeat the claim with more technical vocabulary. — It conflicts with the stated mechanism or evidence: The correction identifies the precise conceptual error and replaces it with a testable explanation.
- Ignore conflicting evidence. — It changes the system boundary or claims a cause that the supplied observations do not establish.
- Treat the model as a literal picture with no limits. — It extends the conclusion beyond the evidence. A valid answer must preserve the variables, sequence and uncertainty in the prompt.
Example 3.3
Why predefine an outlier rule?
Step 1 - identify the governing idea: Methods require quantities, equipment, order, decision rules and sampling detail sufficient for an independent team.
Step 2 - apply it to this evidence: Decision rules should precede seeing preferred results.
Result: It prevents result-dependent exclusion and improves transparency
The evidence-to-mechanism link is: Decision rules should precede seeing preferred results. Notice that the conclusion does not extend beyond the stated system or evidence. A scientific explanation must trace cause and effect, not only name the relevant vocabulary.
Why the alternatives fail:
- A conclusion that ignores the named mechanism — It conflicts with the stated mechanism or evidence: Decision rules should precede seeing preferred results.
- An answer based on one familiar keyword — It changes the system boundary or claims a cause that the supplied observations do not establish.
- A claim that exceeds the available evidence — It extends the conclusion beyond the evidence. A valid answer must preserve the variables, sequence and uncertainty in the prompt.
Retrieval check
Try these without looking back at the examples.
- A student says: "More repeats remove every error." What is the best correction?
- A student says: "A precise method is automatically valid." What is the best correction?
- A student says: "Experienced scientists need only brief methods." What is the best correction?
Answers
- Replication cannot correct a consistently biased instrument. — The correction identifies the precise conceptual error and replaces it with a testable explanation.
- Precision can coexist with measuring the wrong relationship. — The correction identifies the precise conceptual error and replaces it with a testable explanation.
- Reproducibility depends on recorded operational detail. — The correction identifies the precise conceptual error and replaces it with a testable explanation.
Transfer task
Find an unfamiliar example from school, daily life, a credible news source or another subject. Explain which of the three evidence checks applies. Complete the task, then audit your own response: identify the evidence used, the relationship applied, one plausible misconception and the final reasonableness check. If a peer could not reproduce your reasoning, add the missing step.