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Example: {Gomez,
K.A. and Gomez, A.A., 1984,
Statistical
Procedures for Agricultural Research, 2^{nd}
Edition, John Wiley and Sons, New York, pp437448}. A trial
was designed to evaluate 15
rice varieties grown in soil with a toxic level of iron. The
experiment was in a RCB design with three replications.
Guard rows of a susceptible check variety were
planted on two sides of each experimental plot.
Scores for tolerance for iron toxicity were collected
from each experimental plot as well as from guard rows.
For each experimental plot, the score of susceptible
check (averaged over two guard rows) constitutes the value
of the covariate for that plot.
Data on the tolerance score of each variety (Y
variable) and on the score of the corresponding susceptible
check (X variable) are shown below: Scores for tolerance for iron toxicity
(Y) of 15 rice
varieties and those corresponding guard rows of a
susceptible check variety (X) in a RCB trial
Home Descriptive Statistics Tests of Significance Correlation and Regression Completely Randomised Design RCB Design Incomplete Block Design Resolvable Block Design Augmented Design Latin Square Design Factorial RCB Design Partially Confounded Design Factorial Experiment with Extra Treatments Split Plot Design Strip Plot Design Response Surface Design Cross Over Design Analysis of Covariance Diagnostics and Remedial Measures Principal Component Analysis Cluster Analysis Groups of Experiments NonLinear Models
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Descriptive Statistics  
Tests of Significance  
Correlation and Regression  
Completely Randomised Design  
RCB Design  
Incomplete Block Design  
Resolvable Block Design  
Augmented Design  
Latin Square Design  
Factorial RCB Design  
Partially Confounded Design  
Factorial Experiment with Extra Treatments  
Split Plot Design  
Strip Plot Design  
Response Surface Design  
Cross Over Design  
Analysis of Covariance  
Diagnostics and Remedial Measures  
Principal Component Analysis  
Cluster Analysis  
Groups of Experiments  
NonLinear Models  
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