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Chapter 2 data analysis - practical
1. DATA ANALYSIS - PRACTICAL
Analysis of Variance (ANOVA) using
SPSS 14 Computer programme
Prof Dr. Md. Ruhul Amin
2. Problem No. 1
Litter weight(kg) in first kidding in three different
breeds of goats were as follows. Performing
ANOVA, test whether any difference exists
among the breeds. Compare each pair of means.
Jamnapari
3.1
4.2
5.2
4.8
4.0
3.9
4.2
4.6
3.5
Kambing
katjang
2.2
1.9
2.0
2.1
2.0
1.5
2.2
2.3
1.5
Sirohi
2.3
2.0
2.5
3.8
2.7
2.8
2.6
2.5
2.9
3.8
3. ANOVA….
1. Go to SPSS 14 spread sheet
2. Click on the Variable view at the bottom
3. Define each of your variables
i)Breed: label =3
ii) Breed: 1=jam, 2=kam, 3=sir (values)
iii) Litter wt.
iv) For typing data go to Data view sheet
9. ANOVA
Value of F is significant (p<0.001)
There is significant difference (p<0.001)
between litter wt. of goats in 3 different
breeds.
10. Post hoc Test (Duncan’s test)
Lwt
Duncan a,b
3
N
1
kam
9
sir
9
jam
10
sig
1.000
Subset for alpha = .o5
2
Kam 1.97c
Sir 2.70b
Jam 4.13a
3
1.9667
2.7000
4.1300
1.000
1.000
1.000
11. Interpretation of post hoc test
Significantly (p<0.05) highest lwt. was observed
in Jamnapari, lowest was in Kambing Katjang
and the Sirohi ranked intermediate.
12. Interaction effect
Suppose records on litter weight of goats shown
in Problem 1 were obtained randomly from 3
flock located on 3 states of Malaysia.
Obviously “FLOCK” may have an effect like
“BREED”. Again different combination of
BREEDxFLOCK may behave differently. This is
called interaction effect. Total no. of
interaction will be 3x3 = 9.
