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Chemical Thermodynamics of Tin - Volume 12 - OECD Nuclear ...

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486<br />

C Assigned uncertainties<br />

discussion <strong>of</strong> the selected constants in order to get a better estimate <strong>of</strong> the uncertainty in<br />

an experimental determination using a specific method.<br />

One <strong>of</strong> the objectives <strong>of</strong> the NEA Thermochemical Database (TDB) project is<br />

to provide an idea <strong>of</strong> the uncertainties associated with the data selected in this review.<br />

As a rule, the uncertainties define the range within which the corresponding data can be<br />

reproduced with a probability <strong>of</strong> 95% at any place and by any appropriate method. In<br />

many cases, the statistical treatment is limited or impossible due to the availability <strong>of</strong><br />

only one or few data points. A particular problem has to be solved when significant discrepancies<br />

occur between different source data. This appendix outlines the statistical<br />

procedures, which were used for fundamentally different problems, and explains the<br />

philosophy used in this review when statistics were inapplicable. These rules are followed<br />

consistently throughout the series <strong>of</strong> reviews within the TDB Project. Four fundamentally<br />

different cases are considered:<br />

1. One source datum available<br />

2. Two or more independent source data available<br />

3. Several data available at different ionic strengths<br />

4. Data at non-standard conditions: Procedures for data correction<br />

and recalculation.<br />

C.3 One source datum<br />

The assignment <strong>of</strong> an uncertainty to a selected value that is based on only one experimental<br />

source is a highly subjective procedure. In some cases, the number <strong>of</strong> data<br />

points, on which the selected value is based, allows the use <strong>of</strong> the “root mean square”<br />

[1982TAY] deviation <strong>of</strong> the data points, X i , to describe the standard deviation, s X , associated<br />

with the average, X :<br />

s 1<br />

X<br />

= ( − )<br />

N 1 X X<br />

=<br />

− ∑N i<br />

i 1<br />

2<br />

. (C.4)<br />

The standard deviation, s X , is thus calculated from the dispersion <strong>of</strong> the equally<br />

weighted data points, X i , around the average X , and the probability is 95% that an X i is<br />

within X ± 1.96 s X , see Taylor [1982TAY] (pp. 244-245). The standard deviation, s X , is<br />

a measure <strong>of</strong> the precision <strong>of</strong> the experiment and does not include any systematic errors.<br />

Many authors report standard deviations, s X , calculated with Eq. (C.4) (but<br />

<strong>of</strong>ten not multiplied by 1.96), but these do not represent the quality <strong>of</strong> the reported<br />

values in absolute terms. Therefore, it is thus important not to confuse the standard<br />

deviation, s X , with the uncertainty, σ. The latter reflects the reliability and<br />

reproducibility <strong>of</strong> an experimental value and also includes all kinds <strong>of</strong> systematic errors,<br />

CHEMICAL THERMODYNAMICS OF TIN, ISBN 978-92-64-99206-1, © <strong>OECD</strong> 20<strong>12</strong>

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