Statistics.

§ 1065.602 Statistics.

(a) Overview. This section contains equations and example calculations for statistics that are specified in this part. In this section we use the letter “y” to denote a generic measured quantity, the superscript over-bar “–” to denote an arithmetic mean, and the subscript “ref” to denote the reference quantity being measured.

(b) Arithmetic mean. Calculate an arithmetic mean, y ~, as follows:

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Example:

N = 3 y1 = 10.60 y2 = 11.91 yN = y3 = 11.09
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y ~ = 11.20

(c) Standard deviation. Calculate the standard deviation for a non-biased (e.g., N–1) sample, σ, as follows:

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Example:

N = 3 y1 = 10.60 y2 = 11.91 yN = y3 = 11.09 y ~ = 11.20
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σy = 0.6619

(d) Root mean square. Calculate a root mean square, rmsy, as follows:

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Example:

N = 3 y1 = 10.60 y2 = 11.91 yN = y3 = 11.09
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rmsy = 11.21

(e) Accuracy. Determine accuracy as described in this paragraph (e). Make multiple measurements of a standard quantity to create a set of observed values, yi, and compare each observed value to the known value of the standard quantity. The standard quantity may have a single known value, such as a gas standard, or a set of known values of negligible range, such as a known applied pressure produced by a calibration device during repeated applications. The known value of the standard quantity is represented by yrefi. If you use a standard quantity with a single value, yrefi would be constant. Calculate an accuracy value as follows:

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Example:

yref = 1800.0 N = 3 y1 = 1806.4 y2 = 1803.1 y3 = 1798.9
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accuracy = 2.8

(f) t-test. Determine if your data passes a t-test by using the following equations and tables: (1) For an unpaired t-test, calculate the t statistic and its number of degrees of freedom, v, as follows:

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Example:

Y ~ref = 1205.3
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