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Analysis of Data from Designed Experiments

Latin Square Design

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Analysis Using SPSS

Analysis Using SAS 

The analysis of the data is performed using PROC GLM of SAS. The SAS commands are given in the sequel.

Data Input:

For performing analysis, input the data in the following format. {Here one can call the row numbers as row, column number as col and treatments as trt. (It may, however, be noted that one can retain the same name or can code in any other fashion).

 

Prepare a SAS data file using

 

data latin;

input row col  trt yield;

cards;

1          1          3          3.10

1          2          6          5.95

1          3          1          1.75

1          4          5          6.40

1          5          2          3.85

1          6          4          5.30

2          1          2          4.80

2          2          1          2.70

2          3          3          3.30

2          4          6          5.95

2          5          4          3.70

2          6          5          5.40

3          1          1          3.00

3          2          2          2.95

3          3          5          6.70

3          4          4          5.95

3          5          6          7.75

3          6          3          7.10

4          1          5          6.40

4          2          4          5.80

4          3          2          3.80

4          4          3          6.55

4          5          1          4.80

4          6          6          9.40

5          1          6          5.20

5          2          3          4.85

5          3          4          6.60

5          4          2          4.60

5          5          5          7.00

5          6          1          5.00

6          1          4          4.25

6          2          5          6.65

6          3          6          9.30

6          4          1          4.95

6          5          3          9.30

6          6          2          8.40

;

 

proc glm;

class row col trt;

model yield = row col trt;

means trt/tukey;

contrast 'T3 T4 vs T5 T6' trt 0 0 1 1 -1 -1;

run;

 

One may use a host of multiple comparison procedures under the options in MEANS statement viz.  Least Significant Difference (LSD), Duncan’s New multiple - range test (DUNCAN), Waller - Duncan (WALLER) test, Tukey’s Honest Significant Difference (TUKEY).  The LSD, DUNCAN and TUKEY options takes level of significance ALPHA = 5% unless ALPHA = options is specified.  Only ALPHA = 1%, 5% and 10% are allowed with the Duncan’s test.  95% Confidence intervals about means can be obtained using CLM option under MEANS statement.   

 

Data File

Result File

  Analysis Using SAS                                                  Analysis Using SPSS                                                

  

 

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  Non-Linear 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
Non-Linear Models
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Other Designed Experiments
   
(Under Development)

For exposure on SAS, SPSS, 
MINITAB, SYSTAT and
 
MS-EXCEL for analysis of 
data from designed experiments:

 Please see Module I of Electronic Book II: Advances in Data Analytical Techniques

available at Design Resource Server (www.iasri.res.in/design)