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	Analysis of Data from Designed Experiments
	Randomized Complete Block Design

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Analysis Using SAS

Analysis Using SPSS

To answer the question whether the performance of check varieties is significantly different from strains, treatment contrast analysis is to be performed Therefore, for ease of understanding, recode the varieties from 1 to 24 as follows:

Strain	Code	Number Code
RK-04-3	MCN-04-110	1
RK-04-4	MCN-04-111	2
RGN-124	MCN-04-112	3
HYT-27	MCN-04-113	4
PBR-275	MCN-04-114	5
HUJM-03-03	MCN-04-115	6
RGN-123	MCN-04-116	7
BIO-13-01	MCN-04-117	8
RH-0115	MCN-04-118	9
RH-0213	MCN-04-119	10
NRCDR-05	MCN-04-120	11
NRC-323-1	MCN-04-121	12
RRN-596	MCN-04-122	13
RRN-597	MCN-04-123	14
CS-234-2	MCN-04-124	15
RM-109	MCN-04-125	16
BAUSM-2000	MCN-04-126	17
NPJ-99	MCN-04-127	18
SWARNA JYOTI(ZC)	MCN-04-128	19
VARDAN (NC)	MCN-04-129	20
PR-2003-27	MCN-04-130	21
VARUNA (NC)	MCN-04-131	22
PR-2003-30	MCN-04-132	23
KRANTI-(NC)	MCN-04-133	24

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 � GLM � Univariate � Yield � [puts yield under Dependent list: ] � TRTN� [put TRTN under Fixed Factor(s): ] Rep �[put REP under Fixed Factor(s):] Continue � Model... [Opens Model dialogue box] � Custom � Build Term(s) � Main effects � [puts REP, TRTN under Model: ] � Continue � OK.

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

{Here we call the strain codes as treatments: TRT, strain number as Treatment Number: TRTN, Replication: REP. 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.

� Once the data entry is complete, Choose Analyze from the Menu Bar. Now select
Analyze� General linear Model � Univariate.

� This selection displays the following screen

� Select YIELD and send it to the Dependent Variable box; TRTN and REP may be selected for
Fixed Factor(s) box. After doing these the dialog box should be like this.

� Now define model as per design adopted to analyze the data. A Click on the model displays Univariate: Model dialog box. Click on custom then change the Build Terms as Main effects and send TRTN(F) and REP(F) to the Model box.
One gets the following screen

Click Continue to return back to the Univariate dialog box,
Now select any one of the postHoc option to select the desired multiple pairwise comparison procedure
from the following screen:

Before clicking OK one can check the options available there in the Univariate by clicking the Options button and can change there according to your requirements like significance level, Descriptive Statistics etc.

Now for contrast analysis contrast should be defined in the syntax editor. After defining model click continue click paste and define the contrast as following
/LMATRIX ' Check vs Varieties' TRTN 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 -20 -20 4 -20 4 -20;