Main Procedure is:  

Start →All Programs → SPSS for Windows → SPSS 15.0/ SPSS13.0/ SPSS10.0 (based on the version available on your machine) → Enter data in Data Editor → Analyze → Compare means → Independent-Samples T test → group → [puts group under Grouping Variable: ] → tmfppp → nfs45 → fw → fl → syp → sl [puts tmfppp, nfs45, fw,  fl,  syp,  sl under Test Variables(s): ] →   Define Groups →  Continue → Run All.

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

{Here Total number of male flowers per plant is termed as tmfppp, Number of  fruit (45 days) is termed as nfs45, Fruit weight (kg) is termed as fw, Fruit length(cm) is termed as fl, 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}.

 Following are the brief description of the steps along with screen shots.

·         Open Data editor: Start → All Programs → SPSS for Windows → SPSS 15.0/ SPSS13.0/ SPSS10.0

• Enter data in SPSS Data Editor. There are two views in SPSS Data Editor. In variable view, one can define the name of variables and variable types string or numeric and data view gives the spreadsheet in which data pertaining to variables may be entered in respective columns. In the present case, we enter data in numeric format

·         Once the data entry is complete, Choose Analyze from the Menu Bar. Now select Analyze → Compare Means → Independent-Samples T Test.

• This selection displays the following screen

·         Select group and send it to the Grouping Variables box; tmfppp, nfs45, fw,  fl,  syp,  sl under Test Variables(s) box. After doing these the dialog box should be like this

·                   Select Define Groups in the Independent-Samples T Test dialog box i.e. → Define Groups… [Opens Define Group dialogue box] → Use Specified values → Define Groups as 2 and 3. This selection displays the following screen.

·         Click Continue to return to the Independent-Samples T Test dialog box.

• Click OK.

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

To answer the questions 1 the following syntax may be used after creating the data file.

T-TEST

  GROUPS = group(2 3)

  /MISSING = ANALYSIS

  /VARIABLES = tmfppp nfs45 fw fl syp sl

  /CRITERIA = CI(.95) .