How to use Genstat for mean comparision?

Prepared ByKrishna Dhakal

M.Sc.AgGenetics and Plant Breeding

Faculty of AgricultureAgriculture and Forestry University

Rampur, Chitwan, NepalFinal work: March 13, 2017

A simple guideline First of all you make sure that your data is correctly entered in excel sheet Select and copy the data from the excel sheet (make sure you select and copy all the data)Bring the icon of Genstat on your desktopNow, open your Genstat desktop iconGo to “tools”---”Option”---”menu”---choose “show multiple mean comparison on ANOVA menu” and click “OK”Click on spread…..New….. then “from clipboard”A small window of new spreadsheet will appear, Click “yes” on “column name on first row” , that will show the heading of your data table

Data on excel sheet

View of window on opening

Loading data

To load data with its headings click on “yes” of the “column names in first row”

Continued…. Now, in the left side of your Screen data will be seen and in right side

small window will appear where you have to fix which one is factor and which one is the variables and click “OK”

Replication, block, varieties etc are factors and plant height, yield, etc are variables

you can denote it by double clicking on the shown options When the work is done, a red colored exclamation mark (!) appears on

the concerned subject, if you wrongly fixed the factors, you can again change it by clicking in the concerned subject and correct it

Data loaded

Red exclamation sign

Correcting the mistake

For single factor comparision

You have now fixed the factors, its time for mean comparison Go to “stat” click on “analysis of variance” choose “General” and

choose the design of your experiment, load “Y” variate and treatment and click “Run”

To view the results, go to “window” click on “output” and see the results

For one factor ANOVA with no blocking

Choosing one way ANOVA no blocking according to the field design

Click “run” after you fill the boxes

To view the output

Output

For two factor mean comparison(RCBD)

The process is similar to one factor mean comparison The difference occurs while choosing Design of experiment, and other

options according to your interest When you choose two way RCBD then the small window of analysis of

variance would appear as follows

Data used in the example

Typical window for two factor RCBD

Continue…..

In the above slide you can see “option” in the right side of “run”, you can use that for desirable setting of your analysis

For example: you would like to obtain CV, standard errors of means and other too based on the requirement for your analysis

Also you can go to “multiple comparison” option that is available in ANOVA options and set the desirable changes, the ANOVA options is shown in the below slide

ANOVA options

Multiple comparison option

Continued…… From multiple comparison options you can choose either variety or

environment or variety and environment interaction as a treatment to compare the means.

Also you can choose whether you want the results of means comparison in ascending or descending order.

You can also choose the type of test you wanted to choose. After choosing, click on “OK” in both multiple comparison and ANOVA

options mini window Click “Run” and then observe the output clicking “window” and selecting

“output”

Test of your choices

Split plot design The similar is the procedure like in two factorial RCBD The only difference occurs while choosing the Design of experiment also

the desired treatment interaction should be given that is interaction may be main plot treatment Vs sub plot treatment or subplot Vs main plot.

Here in example either environment or treatment can be taken as main plot and the variety as sub plot treatment or variety as main plot or environment as subplot treatment.

Accordingly the treatment interaction will be env × var or var × env Click “Run” and then observe the output clicking “window” and selecting

“output”

Analysis of variance in split plot

Strip plot design The similar is the procedure like in split plot design The only difference occurs while choosing the Design of experiment

and the interaction between row and column should be designed That means interaction treatment may be between row and column or

column and row Click “Run” and then observe the output clicking “window” and

selecting “output”

Strip plot design

Hope it is useful for you guys To start learning

Your Genstat lesson

For Mean comparison