Standard Deviation or Resolution Error: Which One Should Be Quoted in a Report?

  • Thread starter Max Eilerson
  • Start date
  • Tags
    Errors
In summary, the steps to writing down errors in a scientific study involve identifying the error, determining the cause of the error, documenting the error with specific details, analyzing the impact of the error on the study results, and discussing potential solutions to prevent the error from occurring in the future. To determine the cause of an error, one must carefully review methods and procedures, check for discrepancies, and consider external factors. When documenting an error, details such as the type of error, affected data, potential impact, and relevant notes should be included. To analyze the impact of an error, results with and without the error must be compared and the magnitude of the error must be considered. To prevent errors in future studies, it is important to review and validate
  • #1
Max Eilerson
121
1
In a report should I be quoting uncertainties as 2.435(36) m or
2.435 +- 0.036 m. It seems the first way is usually used when quoting a standard deviation error and the second when quoting a resolution error.
 
Physics news on Phys.org
  • #2
That makes sense to me. So, in the report, is the error due to standard deviation (from a sample of data) or is it due to the resolution of the equipment?
 
  • #3


As a scientist, it is important to accurately represent the uncertainties in your measurements in order to ensure the validity and reliability of your findings. Both standard deviation and resolution error are commonly used to indicate the level of uncertainty in a measurement, but they represent different sources of error and should be used in different contexts.

Standard deviation is a measure of the spread of data around the mean value, and is typically used when reporting the variability or precision of a measurement. On the other hand, resolution error refers to the smallest increment that can be measured with a given instrument, and is used to indicate the accuracy or sensitivity of a measurement.

In the case of your example, the first format (2.435(36) m) indicates that the measurement has a mean value of 2.435 m with a standard deviation of 0.036 m. This means that the actual value could be anywhere within 0.036 m above or below the reported value. This format is commonly used when reporting the precision of a measurement, as it gives an indication of the range of values that can be expected from repeated measurements.

The second format (2.435 ± 0.036 m) indicates that the measurement has a mean value of 2.435 m with a resolution error of 0.036 m. This means that the actual value could differ from the reported value by up to 0.036 m due to limitations in the measuring instrument. This format is typically used when reporting the accuracy of a measurement, as it gives an indication of the potential error introduced by the instrument itself.

In conclusion, the choice between reporting standard deviation or resolution error depends on the purpose of your report and the type of uncertainty you want to convey. It is important to use the appropriate format in order to accurately communicate the level of uncertainty in your measurements.
 

1. What are the steps to writing down errors in a scientific study?

The steps to writing down errors in a scientific study include: identifying the error, determining the cause of the error, documenting the error with specific details, analyzing the impact of the error on the study results, and discussing potential solutions to prevent the error from occurring in the future.

2. How do you determine the cause of an error in a scientific study?

Determining the cause of an error in a scientific study involves carefully reviewing the methods and procedures used in the study, checking for any discrepancies or inconsistencies, and considering any external factors that may have influenced the results.

3. What details should be included when documenting an error in a scientific study?

The details that should be included when documenting an error in a scientific study include the type of error, the specific data or information affected by the error, the potential impact on the study results, and any relevant notes or observations.

4. How do you analyze the impact of an error on the study results?

To analyze the impact of an error on the study results, it is important to compare the results with and without the error, and to consider the magnitude of the error and how it may have affected the overall findings of the study.

5. What can be done to prevent errors from occurring in future scientific studies?

To prevent errors from occurring in future scientific studies, it is important to thoroughly review and validate methods and procedures, have proper quality control measures in place, and carefully document any potential sources of error. Additionally, having a clear and detailed protocol can help minimize errors and ensure consistency in data collection and analysis.

Similar threads

  • Introductory Physics Homework Help
Replies
15
Views
995
  • Introductory Physics Homework Help
Replies
1
Views
979
  • Introductory Physics Homework Help
Replies
6
Views
773
  • Introductory Physics Homework Help
Replies
3
Views
2K
  • Introductory Physics Homework Help
Replies
4
Views
523
  • Set Theory, Logic, Probability, Statistics
Replies
4
Views
883
  • Chemistry
Replies
1
Views
887
  • Calculus and Beyond Homework Help
Replies
3
Views
891
  • Introductory Physics Homework Help
Replies
20
Views
2K
  • Introductory Physics Homework Help
Replies
1
Views
2K
Back
Top