Page 273 - Area 9 - Relevant Document
P. 273

20


                      6. Proper choice of an experimental design
                       The  choice  of  the  experimental  design  is  largely  dependent  on  the
                       variability  of  the  experimental  materials  of  units  and  nature  of
                       treatment under test. The researcher should ha a prior knowledge of
                       the  variability  of  the  experimental  units  to  be  used.  As  much  as
                       possible,  the  researcher  should  choose  experimental  units  that  are
                       homogeneous  so  that  real  differences  among  treatments  can  be
                       observed. If the units are somewhat homogeneous then, a completely
                       randomized  design  can  be  employed.  However,  selection  of
                       homogeneous  materials  is  difficult  to  achieve  but  there  are  ways  to
                       reduce  variability  among  experimental  units  and  that  is  by  blocking
                       then an appropriate design applicable to heterogeneous materials may
                       be  used  such  as  Randomized  Complete  Block  Design,  Latin  Square
                       Design and other suitable deign.

               TESTING STATISTICAL HYPOTHESIS/HYPOTHESES


               Levels of significance
               Where do we draw the line that will determine as to whether or not we can
               make an inference about an experiment?

                       The answer to this question reveals the basic nature of sciences; its
               probabilistic  rather  than  its absolutistic  orientation.  Most  researches  have
               adopted the following cutoff points as the basis for inferring the operation of
               non-chance factors.

                       When the event or one more deviant would occur one percent of the
               time or less, by chance, researchers are willing to assert that the results are
               due to non-chance factors. This cutoff point is known variously as the 0.05
               significance level or the 5.00 percent significance level. 0.01 when the event
               or one more deviant would occur one percent of the time or less, by chance,
               researchers  are  willing  to  assert  that  the  results  are  due  to  non-chance
               factors. This cutoff point is known variously as the 0.01 significance level or
               the 1.00 percent significance level.

                       The  level  of  significance  set  by  the  experimenter  for  inferring  the
               operations of non-chance factors is known as the alpha (a) level. Thus when
               employing the 0.05 level significance, a=0.05, when employing the 0.01 level
               of significance, a = 0.01.



               NULL HYPOTHESIS AND ALTERNATIVE HYPOTHESIS


               Prior to the beginning of any experiment, the researcher sets up two mutually
               exclusive hypotheses;
   268   269   270   271   272   273   274   275   276   277   278