To test for any significant difference in the number of hours between breakdowns for four machines, the following data were obtained.
Machine 1 |
Machine 2 |
Machine 3 |
Machine 4 |
---|---|---|---|
6.4 | 8.8 | 10.9 | 9.7 |
7.9 | 7.6 | 10.3 | 12.6 |
5.5 | 9.5 | 9.6 | 11.8 |
7.5 | 10.3 | 10.2 | 10.7 |
8.4 | 9.3 | 9.0 | 11.0 |
7.5 | 10.3 | 8.8 | 11.4 |
a) Use Fisher's LSD procedure to test for the equality of the means for machines 2 and 4. Use a 0.05 level of significance.
Find the value of LSD. (Round your answer to two decimal places.)
LSD =
b) Find the pairwise absolute difference between sample means for machines 2 and 4.
x2 − x4 =
Mean | n | Std. Dev | |
Machine 1 | 7.20 | 6 | 1.062 |
Machine 2 | 9.30 | 6 | 1.018 |
Machine 3 | 9.80 | 6 | 0.812 |
Machine 4 | 11.20 | 6 | 0.990 |
Total | 9.38 | 24 | 1.726 |
ANOVA table | |||||
Source | SS | df | MS | F | p-value |
Treatment | 49.485 | 3 | 16.4950 | 17.34 | 8.71E-06 |
Error | 19.020 | 20 | 0.9510 | ||
Total | 68.505 | 23 |
Fisher's Least significant Difference ( LSD Method )
The pair of means µi. and µj. would be declared significantly
different if
> LSD
t(α/2 , N-a ) = 2.086 ( Critical value from t table )
LSD =
= 1.17 Since the design is balanced n1 = n1 = n3 = n
Part b)
Since | 9.3 - 11.2 | > 1.1745, we conclude that the
population means µ2. and µ4. differ.
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