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                                                                               Chapter 4 Evaluating Analytical Data  65

                 It is easy to see that combining uncertainties in this way overestimates the total un-
                 certainty. Adding the uncertainty for the first delivery to that of the second delivery
                 assumes that both volumes are either greater than 9.992 mL or less than 9.992 mL.
                 At the other extreme, we might assume that the two deliveries will always be on op-
                 posite sides of the pipet’s mean volume. In this case we subtract the uncertainties
                 for the two deliveries,
                      (9.992 mL + 9.992 mL) ± (0.006 mL – 0.006 mL) = 19.984 ± 0.000 mL

                 underestimating the total uncertainty.
                     So what is the total uncertainty when using this pipet to deliver two successive
                 volumes of solution? From the previous discussion we know that the total uncer-
                 tainty is greater than ±0.000 mL and less than ±0.012 mL. To estimate the cumula-
                 tive effect of multiple uncertainties, we use a mathematical technique known as the
                 propagation of uncertainty. Our treatment of the propagation of uncertainty is
                 based on a few simple rules that we will not derive. A more thorough treatment can
                 be found elsewhere. 4

                 4 C.1 A Few Symbols

                 Propagation of uncertainty allows us to estimate the uncertainty in a calculated re-
                 sult from the uncertainties of the measurements used to calculate the result. In the
                 equations presented in this section the result is represented by the symbol R and the
                 measurements by the symbols A, B, and C. The corresponding uncertainties are s R ,
                 s A , s B , and s C . The uncertainties for A, B, and C can be reported in several ways, in-
                 cluding calculated standard deviations or estimated ranges, as long as the same form
                 is used for all measurements.

                 4 C.2 Uncertainty When Adding or Subtracting
                 When measurements are added or subtracted, the absolute uncertainty in the result
                 is the square root of the sum of the squares of the absolute uncertainties for the in-
                 dividual measurements. Thus, for the equations R = A + B + C or R = A + B – C, or
                 any other combination of adding and subtracting A, B, and C, the absolute uncer-
                 tainty in R is

                                           s R =  s 2  s +  2  s + 2              4.6
                                                 A    B   C

                            4 5
                     EXAMPLE  .
                     The class A 10-mL pipet characterized in Table 4.8 is used to deliver two
                     successive volumes. Calculate the absolute and relative uncertainties for the
                     total delivered volume.
                     SOLUTION
                     The total delivered volume is obtained by adding the volumes of each delivery;
                     thus
                                    V tot = 9.992 mL + 9.992 mL = 19.984 mL
                     Using the standard deviation as an estimate of uncertainty, the uncertainty in
                     the total delivered volume is
                                                              0
                                      s R = (.006 ) 2  +( .006 ) 2  = .0085
                                            0
                                                     0
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