In: Statistics and Probability
The following ANOVA table and accompanying information are the result of a randomized block ANOVA test.
Summary Count Sum Average Variance
1 4 443 110.8 468.9
2 4 275 68.8 72.9
3 4 1,030 257.5 1891.7
4 4 300 75.0 433.3
5 4 603 150.8 468.9
6 4 435 108.8 72.9
7 4 1,190 297.5 1891.7
8 4 460 115.0 433.3
Sample 1 8 1,120 140.0 7142.9
Sample 2 8 1,236 154.5 8866.6
Sample 3 8 1,400 175.0 9000.0
Sample 4 8 980 122.5 4307.1
ANOVA
Source of
Variation SS df MS F p-value F-crit
Rows 199,899 7 28557.0 112.8 0.0000 2.488
Columns 11,884 3 3961.3 15.7 0.0000 3.073
Error 5,317 21 253.2
Total 217,100 31
a) blocks = 8
b) population = 8*4 =32
c)
F test statistic = 112.8
p value=0.0000 <α=0.05, reject ho
so, blocking is effective
d)
F test statistic = 15.7
p value=0.00 <α=0.05, so test is significant
conclusion : there is enough evidence of
significance difference among four treatments
e)
Level of significance= 0.0500
no. of treatments,k= 4
DF error =N-k= 21
MSE= 253.20
t-critical value,t(α/2,df)= 2.0796
Fishers LSD critical value=tα/2,df √(MSE(1/ni+1/nj)) =
16.55
if absolute difference of means > critical value,means are
significnantly different ,otherwise not
population mean difference | critical value | result | |||||
µ1-µ2 | 14.000 | 16.55 | means are not different | ||||
µ1-µ3 | 35.000 | 16.55 | means are different | ||||
µ1-µ4 | 17.500 | 16.55 | means are different | ||||
µ2-µ3 | 21.000 | 16.55 | means are different | ||||
µ2-µ4 | 31.500 | 16.55 | means are different | ||||
µ3-µ4 | 52.500 | 16.55 | means are different |