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L1592_Frame_C30  Page 276  Tuesday, December 18, 2001  2:49 PM









                       Precision of the Estimated Parameters
                       The variance of the coefficients is:

                                                        Var b() =  σ /16
                                                                 2

                                                                                                   2
                       The denominator is 16 is because there are n = 16 observations. In this replicated experiment, σ   is
                                  2
                       estimated by s , which is calculated from the logarithms of the duplicate observations (Table 30.2).
                       If there were no replication, the variance would be Var(b) = σ  /8 for a 2  experimental design, and σ 2
                                                                               3
                                                                       2
                       would be estimated from data external to the design.
                        The variances of the duplicate pairs are shown in the table below. These can be averaged to estimate
                       the variance for each method.
                                                                                    (
                                                       3
                                                                                       3
                                                                                  2
                                                                           2
                                    Method         s i 2   (×10 ) of Duplicate Pairs  s Method == ==  ∑∑ ∑ ∑s // //44 44 ×× ××10 )
                                                                               2
                                    A        0.6157  0.7122  0.5747  0.6613    s A =  0.641
                                                                               2
                                    B        5.1799  2.0826  1.9544  0.2591    s B =  2.369
                       The variances of A and B can be pooled (averaged) to estimate the variance of the entire experiment if
                       they are assumed to come from populations having the same variance. The data suggest that the variance
                       of Method A may be smaller than that of Method B, so this should be checked.
                        The hypothesis that the population variances are equal can be tested using the F statistic. The upper
                       5% level of the F statistic for (4, 4) degrees of freedom is F 4,4  = 6.39. A ratio of two variances as large
                       as this is expected to occur by chance one in twenty times. The ratio of the two variances in this problem
                               2
                       is F exp =  s B /s A 2  = 2.369/0.641 = 3.596, which is less than F 4,4  = 6.596. The conclusion is that a ratio
                       of 3.596 is not exceptional. It is accepted that the variances for Methods A and B are estimating the
                       same population variance and they are pooled to give:
                                                 (
                                                            (
                                           s =  [ 4 0.000641) +  4 0.002369)]/8 =  0.001505
                                           2
                       The variance of each coefficient is:

                                                Var b()   = 0.001505/16 = 0.0000941


                       and the standard error of the true value of each coefficient is:

                                            SE b() =  Var  b() =  0.0000941 =  0.0097


                       The half-width of the 95% confidence interval for each coefficient is:

                                                                 (
                                             SE b() ×  t 8,0.025 =  0.0097 2.306) =  0.0224

                       Judging the magnitude of each estimated coefficient against the width of the confidence interval, we
                       conclude:

                          b 0  = 2.2278 ± 0.0224  Average — significant
                          b 1  = 1.1348 ± 0.0224  Nitrate level — significant
                          b 2  = 0.0478 ± 0.0224  Method — significant
                          b 3  = 0.0183 ± 0.0224  PMA — not significant
                       © 2002 By CRC Press LLC
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