Page 178 - Statistics for Environmental Engineers
P. 178

L1592_frame_C21  Page 177  Tuesday, December 18, 2001  2:43 PM











                       Prediction Intervals
                       A prediction interval contains the expected results of a future sample to be obtained from a previously
                       sampled population or process. Based upon a past sample of measurements, we might wish to construct
                       a prediction interval to contain, with a specified degree of confidence: (1) the concentration of a randomly
                       selected single future unit from the sampled population, (2) the concentrations for five future specimens,
                       or (3) the average concentration of five future units.
                        The form of a  two-sided prediction interval is the same as a confidence interval or a tolerance
                       interval:

                                                          y ±  K 1−α, n s


                       The factor K 1−α,n  has a 100(1 − α)% confidence level and depends on n, the number of observations in
                       the given sample, and also on whether the prediction interval is to contain a single future value, several
                       future values, or a future mean. Table 21.2 gives the factors to calculate (1) two-sided simultaneous
                       prediction intervals to contain all of m future observations from the previously sampled normal population
                       for m = 1, 2, 10, 20 and m = n; and (2) two-sided prediction intervals to contain the mean of m = n
                       future observations. The confidence level associated with these intervals is 95%.
                        The two-sided (1 − α )100% prediction limit for the next single measurement of a normally distributed
                       random variable is:


                                                       y ± t n−1, α/2 s 1 +  1
                                                                    ---
                                                                    n

                       where the t statistic is for n − 1 degrees of freedom, based on the sample of n measurements used to
                       estimate the mean and standard deviation. For the one-sided upper (1 − α)100% confidence prediction
                       limit use  y + t n−1, α s 1 +  1 ---.
                                           n

                                  TABLE 21.2
                                  Factors for Two-Sided 95% Prediction Intervals for a Normal Distribution
                                           Simultaneous Prediction Intervals  Prediction Intervals
                                          to Contain All m Future Observations  to Contain the Mean
                                   n   m == == 1  m == == 2  m == == 5  m == == 10  m == == ∞∞ ∞∞  of n Future Observations
                                   4    3.56  4.41   5.56  6.41   5.29          2.25
                                   5    3.04  3.70   4.58  5.23   4.58          1.76
                                   6    2.78  3.33   4.08  4.63   4.22          1.48
                                   7    2.62  3.11   3.77  4.26   4.01          1.31
                                   8    2.51  2.97   3.57  4.02   3.88          1.18
                                   9    2.43  2.86   3.43  3.85   3.78          1.09
                                   10   2.37  2.79   3.32  3.72   3.72          1.01
                                   12   2.29  2.68   3.17  3.53   3.63          0.90
                                   15   2.22  2.57   3.03  3.36   3.56          0.78
                                   20   2.14  2.48   2.90  3.21   3.50          0.66
                                   30   2.08  2.39   2.78  3.06   3.48          0.53
                                   40   2.05  2.35   2.73  2.99   3.49          0.45
                                   60   2.02  2.31   2.67  2.93   3.53          0.37
                                  ∞     1.96  2.24   2.57  2.80    ∞            0.00
                                  Source: Hahn, G. J. (1970). J. Qual. Tech., 3, 18–22.


                       © 2002 By CRC Press LLC
   173   174   175   176   177   178   179   180   181   182   183