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 replication as rep, first strip treatments as A and second strip treatments as B. (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 stripplot;

input rep A  B yield;

cards;

1          1          1          103.60

1          1          2          126.25

1          1          3          115.39

1          2          1          103.80

1          2          2          119.32

1          2          3          106.40

1          3          1          138.30

1          3          2          132.81

1          3          3          128.90

2          1          1            91.65

2          1          2          103.30

2          1          3          101.56

2          2          1          116.65

2          2          2          125.40

2          2          3          144.65

2          3          1          106.60

2          3          2          129.35

2          3          3          138.30

3          1          1          126.91

3          1          2          119.90

3          1          3          134.19

3          2          1          131.19

3          2          2          119.73

3          2          3          127.11

3          3          1          125.80

3          3          2          113.80

3          3          3          125.35

4          1          1          129.61

4          1          2          118.39

4          1          3          123.00

4          2          1          120.81

4          2          2          120.26

4          2          3          125.60

4          3          1          104.71

4          3          2          135.60

4          3          3          114.31

5          1          1          128.29

5          1          2          129.40

5          1          3          123.71

5          2          1          131.29

5          2          2          122.85

5          2          3          138.20

5          3          1          123.31

5          3          2          142.71

5          3          3          152.21

6          1          1          121.06

6          1          2          112.95

6          1          3          115.91

6          2          1          119.60

6          2          2          122.45

6          2          3          126.61

6          3          1          126.96

6          3          2          130.94

6          3          3          131.70

;

To perform the analysis we use the following steps.

proc glm;

class rep a b;

model yield=rep a rep*a b rep*b a*b;

test h=a e=rep*a;

means a /lsd e=rep*a;

means b/lsd  e=rep*b;

means b a*b/lsd;

lsmeans a*b/pdiff;

run;

Note: In the test statement H = numerator for source of variation and

                                          E = denominator source of variation

One can use TUKEY or Scheffe in place of lsd for making all possible pairwise comparisons. Statement  means b a*b/lsd; gives only means and standard deviations for level combinations of a and b. For pairwise comparison of level combinations of  a and b, the statement lsmeans a*b/pdiff is used. One may, however, compute only the means from the software and compute the minimum significant differences using the given formulae on the click of mouse.