Page 119 - Standard Handbook Of Petroleum & Natural Gas Engineering
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104    Mathematics



                    where  K,,,  = estimated  value  of  the  K  statistic
                           F = distribution  factor
                           D  = measure  of  dispersion
                    (For one-sided  confidence  intervals,  the * is  replaced  by  + or by  -.)
                      If  (3  is known,  the  confidence  interval  on  the  mean  is
                      1. Two  sided

                           -      (3      -      (3
                           x-z,,--pIx++,,-
                                 &-              &

                      2.  One sided, lower  limit
                           -     (3
                                    <
                           x - z,  - p I CQ
                                 &-
                      3.  One sided, upper  limit

                                   -
                           --m  I p I X +z,  -
                                          (3
                                         J;;
                        where    =  sample  mean  = Kes,
                               n  =  sample  size
                            Z,,Z~,~ =  values of  random variables, with standard normal distribution,
                                   cutting off (1 - y)  and (1 - y/2)  respectively in the tail of  the
                                   distribution,  and  a =  1 - y (the level  of  significance) = F
                            o/&   =  measure  of  dispersion

                      If  (3  is  unknown,  the  equations  are
                      1. Two  sided





                      2.  One sided, lower limit

                           -      S
                           x- t,  - p I
                                    <
                                 &-
                      3.  One sided, upper  limit

                                   -
                           --m  I  I x+ t,  -
                                          S
                                         VL
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