Discrepancies or insufficient number of data points

Discrepancies are principally treated as described in Section C.4. Again, two cases can be defined. Case I Only two data are available. Case II An outlier cannot be discarded. If only one data point is available, the procedure for correction to zero ionic strength outlined in Section C.6 should be followed. 

Case II. Outliers and inconsistent data sets This case includes situations where it is difficult to decide whether or not a large number of points belong to the same 

A reaction of the same charge type as Reaction (C.17), and for which As is well known, is  

The correction of log, P (C.17) to = 0 is done using the specific ion interaction equation, cf. TDB-2, which uses molal units  

D is the Debye-Huckel term in molal units and / , the ionic strength converted to molal units by using the conversion factors listed in [76BAE/MES] (p.439). The following list gives the details of this calculation. The resulting uncertainties in log p are obtained based on the rules of error propagation as described in Section C.6.2. 

The value of As(C.18) = - (0.25 0.02) was obtained from a linear regression using 16 experimental data between 4 = 0.1 M and 4 = 3 M Na(Cl,C104) [92GRE/FUG]. It is thus assumed that  

Case II. Outliers and inconsistent data sets This case includes situations where it is difficult to decide whether or not a large number of points belong to the same parent distribution. There is no general rule on how to solve this problem, and decisions are left to the judgment of the reviewer. For example, if eight data points follow a straight line reasonably well and two lie way out, it may be justified to discard the out- 

D is the Debye-Hiickel term and the ionic strength converted to molal units by using the conversion factors listed in Table II-5. The following list gives the details 

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