The random titration error has been evaluated by single linear regression analysis of both linear branches of titration curves. As a simplification the confidence interval of a titration is estimated by substituting divergent linear confidence limits for the curved confidence limits of both branches of the curve. The influence of the angle between both branches upon the confidence interval of a titration has also been evaluated. The procedure has been proved advantageous by applying it to several amperometric and photometric titrations of lead and by comparing the results with those obtained by the complementary approach of Liteanu and Cörmös, and by the usual statistical treatment of end-points obtained by graphical extrapolation. The method allows a critical consideration of the experimental conditions with regard to the desired level of precision.
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