Use of σ in quoting measurement accuracy

  • Context: Undergrad 
  • Thread starter Thread starter cepheid
  • Start date Start date
  • Tags Tags
    Accuracy Measurement
Click For Summary

Discussion Overview

The discussion centers on the interpretation and application of the symbol σ in the context of measurement accuracy, particularly in scientific instruments and statistical analysis. Participants explore its meaning in various examples, including its use in identifying sources in astronomical observations and its relation to standard deviation in measurement uncertainty.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants explain that σ represents the standard deviation of a hypothetical ensemble of measurements, which are assumed to follow a Gaussian distribution and differ only due to random experimental errors.
  • One participant notes that an interval of ±σ contains about 63% of the hypothetical ensemble, while ±5σ encompasses approximately 95%, although another participant suggests it is closer to 99.99994% for ±5σ.
  • Another participant discusses the implications of σ in manufacturing defects, providing specific ppm failure rates corresponding to different sigma levels.
  • Questions arise regarding the construction of the hypothetical ensemble and how it applies to specific examples, such as the detection of sources in submillimetre astronomy.
  • Participants propose interpretations of specific examples, suggesting that a 10-sigma detection indicates source outliers significantly deviating from the mean, while a 5-sigma detection relates to the number of sources detected per square degree.

Areas of Agreement / Disagreement

Participants express varying interpretations of the meaning and application of σ in different contexts, indicating that multiple competing views remain without a clear consensus on some aspects.

Contextual Notes

Limitations include potential misunderstandings about the construction of the hypothetical ensemble and the specific definitions of terms like "source" in the context of the examples provided.

cepheid
Staff Emeritus
Science Advisor
Gold Member
Messages
5,197
Reaction score
38
I know that σ is the symbol typically used for standard deviation, but what does the use of σ mean in these contexts?

ex. 1: "[our fancy new instrument] ... allows for the identification of > 500 sources at greater than 10-sigma"

ex. 2: "These estimates assume ... a 1σ polarization uncertainty P = 1%.

Please note that if the symbol doesn't show up for you, it is supposed to be the letter sigma.
 
Physics news on Phys.org
It's the standard deviation of a hypothetical ensemble of measurements of the same quantity, which differ only in random experimental errors, and are assumed to be distributed according to a Gaussian probability distribution.

An interval of [itex]\pm \sigma[/itex] around the ideal mean value contains about 63% of the hypothetical ensemble, and [itex]\pm 5 \sigma[/itex] gets you up to about 95%, if I remember correctly.
 
Indeed, so in terms of manufacturing defects, one sigma corresponds to the equivalent of 690,000 parts per million failures, four sigma 6,210 ppm, and six sigma 3.4 ppm.
 
jtbell said:
An interval of [itex]\pm \sigma[/itex] around the ideal mean value contains about 63% of the hypothetical ensemble, and [itex]\pm 5 \sigma[/itex] gets you up to about 95%, if I remember correctly.

It's more like 99.99994% for [itex]\pm 5 \sigma[/itex].

http://en.wikipedia.org/wiki/68-95-99.7_rule

CS
 
I'm still not sure I understand. How do you construct this hypothetical ensemble? And are you saying that each measurement in the ensemble is a single number that differs from the others only *due to* random experimental errors? Most importantly, HOW does this apply to the examples above? I have another one that says:

" [The instrument] has detected > 80 sources per square degree (at 5-sigma)." What does this mean? Or does this have nothing to do with the specific number 80 and more to do with the definition of what a source is as compared to the background (this is in the context of submillimetre astronomy)?
 
cepheid said:
ex. 1: "[our fancy new instrument] ... allows for the identification of > 500 sources at greater than 10-sigma"

In this example I believe the statement means that your fancy new instrument will detect source outliers up to 10 sigma from the mean (i.e. sources with a z-score of [itex]\pm 10[/itex]). Hard to say without knowing more about the application though.

CS
 
cepheid said:
" [The instrument] has detected > 80 sources per square degree (at 5-sigma)." What does this mean? Or does this have nothing to do with the specific number 80 and more to do with the definition of what a source is as compared to the background (this is in the context of submillimetre astronomy)?

I would interpret that as meaning that instrument detected >80 sources per square degree that were within [itex]\pm 5 \sigma[/itex] of the mean. In other words the detected value, y, was within 5 sigma of the mean value. This y value was detected >80 times.

CS
 

Similar threads

  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 13 ·
Replies
13
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
5
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 4 ·
Replies
4
Views
4K