If xi is an individual measurement and n measurements are made, then the mean value of the measurements is:

The standard deviation (s) from the mean of these measurements is defined as:

A population of measurements with normal or Gaussian distribution will have 68.3% of the population within ±1s , 95.4% within ±2s, 99.7% within ±3s, and 99.9% within ±4s (Figure St-1).
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Figure 4.1. The standardized normal distribution N(0,1) and its properties (after Till 1974). |
The variance of the measurements may be defined as s2, and the coefficient of variation (also called relative error or relative standard deviation) is:

The relative error is often expressed as a percentage of the mean value.
The error associated with the mean is less than that of an individual measurement. This is termed the standard error of the mean, and is defined as:

The production and counting of X-rays follow statistical patterns and have a Poisson distribution. At sufficiently high count rates this is identical to a normal distribution. Thus,

where C = number of X-rays counted. After determining the number of counts on a standard, the microprobe software reports a "sigma" ratio":

Ratios of up to 3.0 on a standard material are considered acceptable, although, as shown below, values greater than 1.0 indicate substantial heterogeneity. Such heterogeneity should not be present in a standard material and high sigma ratios probably indicate machine instability or operator problems.
Copyright 1997-2003, James H. Wittke
Last update: 01/18/2006 01:47 PM.