Observational error, identical measurement results

  • Thread starter Thread starter player1_1_1
  • Start date Start date
  • Tags Tags
    Error Measurement
Click For Summary
SUMMARY

The discussion centers on calculating observational error when all measurement results are identical, specifically L = (20 ± 0.1) cm. Participants agree that in such cases, the accuracy of the measuring tool, such as a ruler, should be considered. Common practices suggest using either one-tenth of a scale division or a full scale division for error estimation, with metric rulers typically using 1 mm as a reference. Therefore, the measurement error can be derived from the precision of the measuring instrument rather than statistical methods.

PREREQUISITES
  • Understanding of measurement precision and accuracy
  • Familiarity with error analysis concepts
  • Knowledge of scale divisions in measuring tools
  • Basic statistics for calculating mean squared error
NEXT STEPS
  • Research the principles of measurement uncertainty
  • Learn about the use of significant figures in reporting measurements
  • Explore methods for estimating error based on instrument specifications
  • Study statistical techniques for analyzing repeated measurements
USEFUL FOR

Students in physics or engineering, researchers conducting experiments, and anyone involved in precise measurement and error analysis.

player1_1_1
Messages
112
Reaction score
0

Homework Statement


hello, I have ten results of measurements, all are identical, and how i can count error? it is this: L = ( 20 \pm 0,1 ) cm and all errors, mean squared error etc are 0, how can I count this now?
 
Physics news on Phys.org
up,,
 
If the measurements came up all equal, then you could use whatever is the accuracy of your ruler. I've known people to use anywhere between 1/10 of a scale divisions to a full scale division, and metric rulers often use 1mm for the scale divisions.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
Replies
4
Views
3K
  • · Replies 1 ·
Replies
1
Views
744
  • · Replies 2 ·
Replies
2
Views
652
Replies
15
Views
2K
  • · Replies 6 ·
Replies
6
Views
1K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 10 ·
Replies
10
Views
947
Replies
3
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K