Exam-style question
Try this first
Why is it important to distinguish between random and systematic errors in experimental data?.
- A.To ensure all errors can be eliminated.
- B.To improve the precision of measurements.
- C.To identify the source of inaccuracies and improve measurement techniques.
- D.To increase the number of trials conducted.
Model answer
What a good answer should say
- To identify the source of inaccuracies and improve measurement techniques.
Explanation
Why this works
The correct answer is to identify the source of inaccuracies and improve measurement techniques. Random errors affect scatter and precision, while systematic errors shift results in one direction and affect accuracy.
Simply increasing trials helps random error but does not remove a systematic bias.
Common mistake
No common mistake is linked to this question yet.