Difference between revisions of "Sigma"

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(3 SIGMA = 99.6% Chance (150px))
(2 SIGMA and VTube-LASER SEF2 Values)
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If someone says that an error is 3 sigma, then that person is referring to the greatest possible error in between the lines marked with -3 sigma to +3 sigma in the bell curve (see the curve above).  Add the percentages of the six regions under the bell to get over 99%.  There is a 99.6% chance that the error will not exceed the value stated.
 
If someone says that an error is 3 sigma, then that person is referring to the greatest possible error in between the lines marked with -3 sigma to +3 sigma in the bell curve (see the curve above).  Add the percentages of the six regions under the bell to get over 99%.  There is a 99.6% chance that the error will not exceed the value stated.
  
=== 2 SIGMA and VTube-LASER SEF2 Values ===
+
=== How "2 SIGMA" applies to VTube-LASER SEF2 Values ===
 
The 2 Sigma value is used quite a bit for measuring. For example, when VTube-LASER reports Cylinder Fit errors, it always shows the values as "''SEF2''" or "''standard error fit X 2''" - which is the same as 2 sigma or (2 times the sigma) value calculated.  This lets you know there is a 95% chance that the error or deviation reported in the Cylinder Fit window will not exceed that value.
 
The 2 Sigma value is used quite a bit for measuring. For example, when VTube-LASER reports Cylinder Fit errors, it always shows the values as "''SEF2''" or "''standard error fit X 2''" - which is the same as 2 sigma or (2 times the sigma) value calculated.  This lets you know there is a 95% chance that the error or deviation reported in the Cylinder Fit window will not exceed that value.
  
 
[[image:vtube-laser_1_58_cylinderfit_highlight.jpg|500px]]
 
[[image:vtube-laser_1_58_cylinderfit_highlight.jpg|500px]]

Revision as of 00:34, 4 October 2011

Vtube-laser logo.jpg

SIGMA and ERRORS

Back to VTube-LASER
Back to VTube-STEP

Vtube-laser 1 71b.jpg

Contents


Most have heard of the "bell curve" in mathematics. This is the shape that describes the probability that a given percentage of measurements will fall within a certain region under a standard bell curve. This shape is found in nature - so its one that mathematicians use often.

This shape of the standard bell curve is called "Normal Distribution" or "Gausian Distribution."

Bellcurve.jpg


HOW SIGMA PERTAINS to the BELL CURVE

A statistical measurement called "standard deviation" is also referred to as the region between the two sigma lines on the horizontal axis of a bell curve. The region between the two lines under the bell are is the region called "1 sigma". The lower case Greek letter sigma is used like this:

Sigma.jpg

The sigma symbol is combined with numbers like this to help us know how many sigma regions we are referring to: This is a probability of how much the measurements vary from the center value of the bell by a distance defined as sigma on either side of that center. (See + and - sigma in the graph above.)

Plus 1 sigma.jpg

"1 SIGMA" = 68% Chance (Fromto1sigma.jpg)

If someone says that an error is 1 sigma, then that person is referring to the greatest possible error in between the lines marked with - 1 sigma to + 1 sigma in the bell curve (see the curve above). Add the percentages of the two regions under the bell to get about 68%. There is a 68% chance that the error will not exceed the value stated.

"2 SIGMA" = 95% Chance (Fromto2sigma.jpg)

If someone says that an error is 2 sigma, then that person is referring to the greatest possible error in between the lines marked with -2 sigma to +2 sigma in the bell curve (see the curve above). Add the percentages of the four regions under the bell between the - and + sigma lines to get about 95%. There is a 95% chance that the error will not exceed the value stated.

"3 SIGMA" = 99.6% Chance (Fromto3sigma.jpg)

If someone says that an error is 3 sigma, then that person is referring to the greatest possible error in between the lines marked with -3 sigma to +3 sigma in the bell curve (see the curve above). Add the percentages of the six regions under the bell to get over 99%. There is a 99.6% chance that the error will not exceed the value stated.

How "2 SIGMA" applies to VTube-LASER SEF2 Values

The 2 Sigma value is used quite a bit for measuring. For example, when VTube-LASER reports Cylinder Fit errors, it always shows the values as "SEF2" or "standard error fit X 2" - which is the same as 2 sigma or (2 times the sigma) value calculated. This lets you know there is a 95% chance that the error or deviation reported in the Cylinder Fit window will not exceed that value.

Vtube-laser 1 58 cylinderfit highlight.jpg