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Re: [Phys-l] each error bar == one standard deviation



Like most people, I usually express uncertainties as +/- one standard deviation. But Brian made a different choice and I followed his example. In True Basic X=rnd will select a random number from a distribution which is uniform between -1 and +1.

Suppose Y is the sum of 12 such numbers. Then Z=Y-6 is a random number whose mean value is 0 and whose standard deviation is 1.

R=A+B*Z

is a random number whose means value is A, and whose standard deviation is B. My Monte Carlo problem uses a subroutine delivering R for any specified A and B. I do not remember where I copied it from, when I was a postdoc, about 40 years ago.

Ludwik




On Aug 30, 2010, at 5:19 PM, Folkerts, Timothy J wrote:


Unless otherwise specified very explicitly:
-- For a Gaussian, each error bar is one standard deviation.
Note that this is approximately equal to the HWHM.
The + and - error bars together cover 68% of the probability.
-- For a triangular distribution, each error bar is exactly
one HWHM. The + and - error bars together cover 75% of the
probability.
-- For a square distribution, each error bar is exactly one
HWHM. The + and - error bars together cover 100% of the
probability.

There are other common conventions. For example, NIST sticks with +/- 1 standard deviation for all of these. (http://physics.nist.gov/cuu/Uncertainty/typeb.html )

"The following figure schematically illustrates the three distributions described above: normal, rectangular, and triangular. In the figures, µt is the expectation or mean of the distribution, and the shaded areas represent ± one standard uncertainty u about the mean. For a normal distribution, ± u encompases about 68 % of the distribution; for a uniform distribution, ± u encompasses about 58 % of the distribution; and for a triangular distribution, ± u encompasses about 65 % of the distribution."


I'm not saying one convent is better than another -- I'm just saying varying conventions are out there.

Tim Folkerts
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Forum for Physics Educators
Phys-l@carnot.physics.buffalo.edu
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Ludwik

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