Critical Response Flashcards
1
Q
Explain how systematic error could be identified.
A
- By repeating the experiment with new equipment or freshly calibrated apparatus (such as…?).
- If the new results differ consistently from the original results, this indicates systematic error is present.
2
Q
Explain the difference between accuracy and precision.
A
- Accuracy – how close measured values are to the ‘true value’
- Precision – how close measured values (of multiple trials) are to each other (e.g. the reproducibility of measurements under the same conditions)
3
Q
Explain the importance of increasing the sample size.
A
- To reduce the effect of random error, but enabling more reliable averages to be calculated.
4
Q
Explain why it is important to keep all factors constant apart from the independent variable.
A
- So that the results of the experiment / dependent variable is solely due to the independent variable.
- Therefore a direct cause-and-effect relationship between the two variables can be determined.
- This will enable a valid conclusion to be drawn.