Difference between revisions of "TF ErrorAna PropOfErr"
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and | and | ||
− | Based on the Definition of | + | Based on the Definition of Variance |
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+ | ;If you were told that the average is <math>\bar{x}</math> then you can calculate the | ||
+ | "true" variance of the above sample as | ||
+ | |||
+ | :<math>\sigma^2 = \frac{\sum_{i=1}^{i=N} (x_i - \bar{x})^2}{N}</math> | ||
+ | |||
+ | |||
+ | |||
\<math>Delta A = A- A_0 =f(L,W)-f(L_o,W_0)</math> = fluctuation of the Area | \<math>Delta A = A- A_0 =f(L,W)-f(L_o,W_0)</math> = fluctuation of the Area |
Revision as of 21:07, 9 January 2010
A quantity which is calculated using quantities with known uncertainties will have an uncertainty based upon the uncertainty of the quantities used in the calculation.
To determine the uncertainty in a quantity which is a function of other quantities, you can consider the dependence of these quantities in terms of a tayler expansion
Consider a calculation of a Table's Area
The mean that the Area (A) is a function of the Length (L) and the Width (W) of the table.
The Taylor series expansion of a function f(x) about the point a is given as
For small values of x (x << 1) we can expand the function about 0 such that
The talylor expansion of a function with two variable is given by
or
The term
represents a small fluctuation of the function from its average.
If we ignore higher order terms in the Taylor expansion ( this means the fluctuations are small)
and
Based on the Definition of Variance
- If you were told that the average is then you can calculate the
"true" variance of the above sample as
\ = fluctuation of the Area
and simularly
and
Then