Analysis  Using  SAS 

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

Data Input:  

For performing analysis, input the data in the following format. 

{Here Number of  fruit (45 days) is termed as nfs45, Fruit weight (kg) is termed as fw, seed yield/plant (g) is termed as syp and Seedling length (cm) is termed as sl. It may, however, be noted that one can retain the same name or can code in any other fashion}.

data ttest1;   /*one can enter any other name for data*/

input group    nfs45   fw         syp    sl;

cards;

1          7.0       1.85    147.70             16.86

1          7.0       1.86    136.86             16.77

1          6.0       1.83    149.97             16.35

1          7.0       1.89    172.33             18.26

1          7.0       1.80    144.46             17.90

1          6.0       1.88    138.30             16.95

1          7.0       1.89    150.58             18.15

1          7.0       1.79    140.99             18.86

1          6.0       1.85    140.57             18.39

1          7.0       1.84    138.33             18.58

2          6.3       2.58    224.26             18.18

2          6.7       2.74    197.50             18.07

2          7.3       2.58    230.34             19.07

2          8.0       2.62    217.05             19.00

2          8.0       2.68    233.84             18.00

2          8.0       2.56    216.52             18.49

2          7.7       2.34    211.93             17.45

2          7.7       2.67    210.37             18.97

2          7.0       2.45    199.87             19.31

2          7.3       2.44    214.30             19.36

;

*To answer the question number 1 use the following SAS statements;

proc ttest H0=200;

var syp;

run;

*To answer the question number 2 use the following SAS statements;

proc ttest;

class group;

var nfs45 fw syp sl;

run;

To answer the question number 3 one has to perform the one tail t-test. The easiest way to convert a two-tailed test into a one-tailed test is take half of the p-value provided in the output of 2-tailed test output for drawing inferences. 

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