(2010). Analysis of Covariance consider to be quite important procedure to reduce the effect of some independents factors before going through the experiment. , 16(60), 199-215.
. "Analysis of Covariance consider to be quite important procedure to reduce the effect of some independents factors before going through the experiment". , 16, 60, 2010, 199-215.
(2010). 'Analysis of Covariance consider to be quite important procedure to reduce the effect of some independents factors before going through the experiment', , 16(60), pp. 199-215.
Analysis of Covariance consider to be quite important procedure to reduce the effect of some independents factors before going through the experiment. , 2010; 16(60): 199-215.

Analysis of Covariance consider to be quite important procedure to reduce the effect of some independents factors before going through the experiment

journal of Economics And Administrative Sciences/ University of baghdad
Article 1, Volume 16, Issue 60, 2010, Pages 199-215
Abstract
Analysis of Covariance consider to be quite important procedure to reduce the effect of some independents factors before going through the experiment.
By this procedure we can compare variances causes from the difference between treatments and error term variance of they are equals or less than consider to be not significant, otherwise if is significant.
We carry on with this comparison until we find the greatest covser for the significant variance flam the treatments.
There are methods can be used like least significant difference method, Duncan method and Turkeys' w-procedure and Student Newman.
Key Word: Analysis of variation; Split plot design; Repeated
Measurements
Keywords
Analysis of variation; Split plot design; Repeated Measurements; Least Significant Difference; Duncan
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