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L1592_Frame_C02  Page 15  Tuesday, December 18, 2001  1:40 PM









                                                  11
                                               Nitrate Observation i-1  9 8
                                                  10



                                                   7
                                                   6
                                                   5
                                                   4
                                                    4   5  6   7   8  9   10  11
                                                         Nitrate Observation i

                       FIGURE 2.9  Plot of measurement y i  vs. measurement y i−1  shows a lack of serial correlation between adjacent measurements.




                                                  σ    σ   σ    σ    σ   σ


                                             α 1  α 2                    α 3  α 4

                                           4        6         8       10        12
                                                        Nitrate (mg/L)


                       FIGURE 2.10  A normal distribution centered at mean η = 8. Because of symmetry, the areas α 1  = α 4  and α 1  + α 2  = α 3  + α 4 .



                       The Normal Distribution
                       Repeated observations that differ because of experimental error often vary about some central value with
                       a bell-shaped probability distribution that is symmetric and in which small deviations occur much more
                       frequently than large ones. A continuous population frequency distribution that represents this condition
                       is the normal distribution (also sometimes called the Gaussian distribution). Figure 2.10 shows a normal
                                                                 2
                       distribution for a random  variable with  η  = 8 and  σ    = 1. The normal distribution is characterized
                                                                                       2
                       completely by its mean and variance and is often described by the notation N(η, σ  ), which is read “a
                                                            2
                       normal distribution with mean η and variance σ .”
                        The geometry of the normal curve is as follows:
                          1.  The vertical axis (probability density) is scaled such that area under the curve is unity (1.0).
                          2.  The standard deviation σ measures the distance from the mean to the point of inflection.
                          3.  The probability that a positive deviation from the mean will exceed one standard deviation
                             is 0.1587, or roughly 1 6. This is the area to the right of 9 mg/L in Figure 2.8. The probability
                             that a positive deviation will exceed 2σ is 0.0228 (roughly 1 40), which is area α 3  + α 4  in
                             Figure 2.8. The chance of a positive deviation exceeding 3σ is 0.0013 (roughly 1 750), which
                             is the area α 4 .
                          4.  Because of symmetry, the probabilities are the same for negative deviations and α 1  = α 4  and
                             α 1  + α 2  = α 3  + α 4 .
                          5.  The chance that a deviation in either direction will exceed 2σ is 2(0.0228) = 0.0456 (roughly
                             1 20). This is the sum of the two small areas under the extremes of the tails, α 1  + α 2  = α 3  + α 4 .

                       © 2002 By CRC Press LLC
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