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                       does  not  use  randomization  then  he  cannot  tell  whether  observed
                       differences are due to differences in treatment, or due to the systematic
                       assignment of treatment. Another basic reason is to have valid measure
                       of experimental error. If a systematic bias is present in the experiment,
                       then  estimated  error  variances  are  not  only  due  to  the  inherent
                       variability of the experimental units but also due to the systematic bias,
                       which is combined into. This term will reduce the reliability of the test.


                   3.  Control  of  error  may  be  introduced  in  the  different  stages  of  the
                       experiment besides the
                       Inherent  variability  of  the  experimental  units  used.  Hence,  the
                       researcher should have proper knowledge of the experimental units he
                       is going to use whether these units’ needs to be groups called blocks
                       and  most  importantly,  he  has  the  control  over  all  factors  that  may
                       contaminate the experiment.



                       Suggested ways of minimizing error in the experiment:

                       1.  Increase the size of the experiment either through the provision of
                          more replicate or by inclusion of additional treatments.
                       2.  Selection of treatments
                       3.  Proper choice of experimental design
                       4.  Refinement of experimental techniques


                   4.   Number of replications and selection of treatments
                       The number of replication is important in estimating the standard error
                       of the mean or the difference of the two mean. If the experiment consists
                       only  one  replicate,  no  estimate  of  experimental  error  is  available
                       therefore  there  is  no  way  to  determine  whether  observed  differences
                       indicate real or differences due to inherent variation. According to the
                       Central  Limit  Theorem:  as  the  number  of  replication  increases,  the
                       estimate of the population becomes more precise.



                   5.  Selection of treatments
                       In some field experiments, the rate or the amount of fertilizer is dictated
                       by the objective of the research. If one of the research objectives is to
                       determine the optimum amount of fertilizer (in fertilizer trial) that would
                       give maximum response, then not only two or three rates of fertilizer
                       must be included but more than three, the reason is that if only two
                       rates of fertilizer are included, then the trend line that can be produced
                       will be only linear.
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