To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material.
Manufacturer |
||||
1 | 2 | 3 | ||
18 | 27 | 24 | ||
24 | 24 | 21 | ||
24 | 30 | 24 | ||
21 | 27 | 21 |
Sum of Squares, Treatment | |
Sum of Squares, Error | |
Mean Squares, Treatment | |
Mean Squares, Error |
Applying one way ANOVA: (use excel: data: data analysis: one way ANOVA: select Array): |
Source | SS | df | MS | F | P value |
Between | 64.500 | 2 | 32.25 | 5.6087 | 0.026 |
Within | 51.750 | 9 | 5.75 | ||
Total | 116.250 | 11 |
a)
sum of sq;treatment= | 64.50 |
sum of sq; error= | 51.75 |
mean sq;treatment= | 32.25 |
mean square; error= | 5.75 |
value of the test statistic =5.61
The p-value is between .025 and .05
Conclude the mean time needed to mix a batch of material is not the same for all manufacturers
b)
critical value of t with 0.05 level and N-k=9 degree of freedom= | tN-k= | 2.262 | |||
Fisher's (LSD) for group i and j =(tN-k)*(sp*√(1/ni+1/nj) = | 3.84 |
Cannot conclude there is a difference in the mean time for these manufacturers
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