Page 64 - Petrology of Sedimentary Rocks
P. 64

that,   unless   the  two  properties   are  almost   perfectly   correlated,   two   trends   lines  can  be
        computed;   let’s   say  we  have   a  graph   of  feldspar   content   versus   roundness,   with   a
        correlation   coefficient   of  +.45  (good,   but  far  from   perfect   correlation).   We  can  either
        (I)   compute   the   line   to  predict   most   accurately   the   roundness,   given   the   feldspar
        content;   or   (2)  a  line   to   predict   most   accurately   the   feldspar   contents   given   the
        roundness.    The   two   lines   may   easily   form   a  cross   with   as  much   as  30”  or  more
        difference   in  angle.   Again,   these   work   only   for   straight-line   trends;   non-linear   trends
        require   more   complicated   arithmetic.

              To   the   trend   line   is  usually   attached   a  “standard   error   of   estimate”   band,
        essentially   equal   to  the   standard   deviation.   This   band   runs   parallel   to  the   computed
        trend   and  includes   two-thirds   of  all  the  points   in  the  scatter   diagram.   Its  purpose   is  to
        show  the  accuracy   of  the  relationship.   For  example,   in  a  certain   brachiopod   the  length
        and  width   of  the  shell   are  related   by  the  equation   L  =  2W  -I   +  0.5.   The   last  figure   is
        the  standard   error   of  estimate;   if  a  given   specimen   has  a  width   of  3.5  cm,  the  length   is
        most   likely   8  cm,  but  we  can  expect   two-thirds   of  the  specimens   to  range   between   7.5
        and  8.5  cm.   (one-sixth   of  them   will   be  over   8.5  cm,  and  one-sixth   under   7.5cm).

                                            Abridged   Table   of  t

       This  table   can  be  used  only  when   the  data   is  in  the  form   of  means   of  continuous   variables.
       -----
                                    -__--------
           Degrees   of
            Freedom       0.50      0.20     0.  IO                 0.02       0.01        0.001

               I          1.0       3.0      6.3         12.7      31.8       63.7       636.6

               2          0.84      1.89     2.92        4.30       6.97       9.93       31.60

               3          0.79      1.62     2.35        3.  I8     4.54       5.84       12.94

               4          0.78      I .52    2.  I3      2.78       3.75       4.60        8.61

               7          0.73      I .42     I -. 90    2.37       3.00       3.50        5.41

              IO          0.70      1.36      I .8l      2.23       2.76       3.17        4.59

              20          0.69      1.30      1.73       2.09       2.53       2.85        3.85

              30  -  m    0.68      1.28      1.65        I  .96    2.33       2.58        3.29

              Enter   the  table   with   the  proper   degrees   of  freedom   and  read   right   until   you  reach
       the  (interpolated)   value   of  t  you  obtained   by  calculation.   Then   read  up  to  the  top  of  the
        table   the  corresponding   P.   Example:   for   IO  d.f.,   t  =  3.0;  therefore   P  -about   .013,   i.e.,
       there   is  a  little   more   than   I  chance   in  100  that   the  differences   are  due  to  chance.   As  a
        general   rule,   if  P  is  .05  or  less,  the  differences   are  considered   as  real:   if  P  is  between
        .05  and   .20,  there   may   be  real   differences   present,   and   further   investigations   are
       warranted   with   the  collection   of  more   samples   if  possible;   if  P  is  over   .20  differences
       are  insignificant.
                            xa  -x’
                                    b
                    t =
                                S




                                                       58
   59   60   61   62   63   64   65   66   67   68   69