Accuracy describes closeness to an accepted value, while precision describes how closely repeated measurements agree. Every measurement has uncertainty because tools have limited resolution and methods vary. Recording units and appropriate digits keeps evidence honest.
Example
Measurements of 9.8, 9.8 and 9.9 cm are precise; whether they are accurate depends on the object's accepted length and the measuring method.
Key terms
Accuracy:
Closeness of a measurement to an accepted value.
Precision:
Closeness of repeated measurements to one another.
Uncertainty:
The range within which a measured value is reasonably expected to lie.
Questions
1. Which statement best captures accuracy, precision and measurement uncertainty?
Measurement quality depends on tool resolution, method, accuracy, precision and honest treatment of uncertainty.
A measurement with many decimal places is automatically accurate.
The pattern can only be explained by guessing.
The topic has no observable evidence.
2. Which term means "Closeness of a measurement to an accepted value."?
Accuracy
Precision
Uncertainty
Variable
3. Which term means "Closeness of repeated measurements to one another."?
Precision
Accuracy
Uncertainty
Conclusion
4. Which term means "The range within which a measured value is reasonably expected to lie."?
Uncertainty
Accuracy
Precision
Prediction
5. Which observation task is most relevant to this topic?
Compare rulers or scales with different smallest divisions and state what each can measure reliably.
Copy the topic title without looking at an example.
Choose a result before making observations.
Ignore details that do not match a first guess.
6. Which model would best represent the key process or relationship?
Plot sets of measurements on target diagrams to distinguish accuracy from precision.
A decorative drawing with no labels or connection to evidence.
A list of unrelated facts.
A model that deliberately contradicts every observation.
7. Which investigation is focused most directly on the scientific idea?
Measure the same object several times with two tools and compare spread, resolution and likely uncertainty.
Change many uncontrolled factors and record nothing.
Ask only for opinions and treat them as measurements.
Repeat a memorised answer without testing it.
8. Which evidence best supports the lesson explanation?
Repeated values that cluster tightly show precision, but comparison with an accepted value is needed to judge accuracy.
A measurement with many decimal places is automatically accurate.
One preferred answer with no observation.
A claim that cannot be checked in any way.
9. Which task applies the science in a new context?
Choose a suitable measuring tool and reporting precision for a laboratory or field task.
Write the heading again without explaining it.
Ignore the system and choose randomly.
Assume the same answer fits every situation.
10. Which response best corrects the misconception in this topic?
Measurement quality depends on tool resolution, method, accuracy, precision and honest treatment of uncertainty.
A measurement with many decimal places is automatically accurate.
Both statements must be equally correct.
Evidence cannot help decide between explanations.
11. What makes a scientific observation useful?
It records relevant details without changing them to fit an expectation.
It includes only details that support a preferred answer.
It replaces measurements with guesses.
It hides the conditions under which it was made.
12. Why should a scientific model include its limitations?
Models simplify reality, so users need to know what the representation leaves out.
A limitation proves the model has no value.
Models are exact copies and never omit anything.
Limitations should be hidden so a model looks certain.
13. What makes a comparative investigation fair?
Change or compare the intended factor while keeping other relevant conditions consistent.
Change every condition at the same time.
Measure only the result that looks best.
Decide the conclusion before collecting data.
14. Why repeat measurements or use several samples?
To reveal variation and reduce the influence of chance or one unusual result.
To guarantee a preferred conclusion.
To make units unnecessary.
To remove the need for a clear method.
15. What is the best response to an anomalous result?
Record it, check the method and investigate whether it is error or meaningful variation.
Delete it automatically.
Delete all other results instead.
Assume it proves the whole topic wrong.
16. Which conclusion is scientifically responsible?
One that answers the question, uses the evidence and states important limits.
One that claims more than the data show.
One that ignores conflicting evidence.
One based only on the expected answer.
17. What would make the claim about accuracy, precision and measurement uncertainty stronger?
Several relevant, repeatable evidence lines that agree with the explanation.
A larger heading and no new evidence.
Removing results that are inconvenient.
Relying on a single uncheckable opinion.
18. What should happen if reliable new evidence conflicts with a model?
The model should be reviewed and revised or replaced if needed.
The evidence should always be hidden.
The original model must never change.
Scientists should stop asking questions.
19. How should safety and ethics shape an investigation?
Risks, people, living things and environments should be considered before the method is used.
Safety matters only after data collection.
Any method is acceptable if it is fast.
Ethics has no place in science.
20. What makes science communication trustworthy?
Clear methods, accurate terms, relevant evidence and acknowledgement of uncertainty.
Certainty without evidence.
Leaving out how results were obtained.
Using dramatic language instead of data.
21. What is the strongest overall outcome from studying accuracy, precision and measurement uncertainty?
Use observations, models, investigations and evidence to explain and apply this idea.
Memorise the title without using it.
Avoid testing explanations.
Treat every first idea as permanently correct.
Answer key (parent copy)
1. Measurement quality depends on tool resolution, method, accuracy, precision and honest treatment of uncertainty.
2. Accuracy
3. Precision
4. Uncertainty
5. Compare rulers or scales with different smallest divisions and state what each can measure reliably.
6. Plot sets of measurements on target diagrams to distinguish accuracy from precision.
7. Measure the same object several times with two tools and compare spread, resolution and likely uncertainty.
8. Repeated values that cluster tightly show precision, but comparison with an accepted value is needed to judge accuracy.
9. Choose a suitable measuring tool and reporting precision for a laboratory or field task.
10. Measurement quality depends on tool resolution, method, accuracy, precision and honest treatment of uncertainty.
11. It records relevant details without changing them to fit an expectation.
12. Models simplify reality, so users need to know what the representation leaves out.
13. Change or compare the intended factor while keeping other relevant conditions consistent.
14. To reveal variation and reduce the influence of chance or one unusual result.
15. Record it, check the method and investigate whether it is error or meaningful variation.
16. One that answers the question, uses the evidence and states important limits.
17. Several relevant, repeatable evidence lines that agree with the explanation.
18. The model should be reviewed and revised or replaced if needed.
19. Risks, people, living things and environments should be considered before the method is used.
20. Clear methods, accurate terms, relevant evidence and acknowledgement of uncertainty.
21. Use observations, models, investigations and evidence to explain and apply this idea.