A company is considering purchasing wine glasses from 1 of 4 possible manufacturers (identified as Manufacturer A, Manufacturer B, Manufacturer C, and Manufacturer D). The cost of the wine glasses is the same for each manufacturer, so the company is conducting a test to determine if there is a difference in the average life of glasses produced by the manufacturers. Four (4) glasses are randomly sampled from each manufacturer and the glasses are tested until they break. A partially completed ANOVA table of the results is shown below. The F critical value is shown for α = 0.05.
ANOVA |
|||||
Source of Variation |
SS |
df |
MS |
F |
F crit |
Between Groups |
204993 |
3 |
3.4903 |
||
Within Groups |
78218 |
||||
Total |
283211 |
15 |
1. State the Null and alternative hypotheses of interest.
Ho: __________________________________________
HA: __________________________________________
ANOVA | |||||
Source of Variation | SS | df | MS | F | F crit |
Between Groups | 204993 | 3 | 68331 | 10.48316 | 3.4903 |
Within Groups | 78218 | 12 | 6518.167 | ||
Total | 283211 | 15 |
Hypothesis:
H0: μ1 = μ2 = μ3 = μ4
Ha: Not all μ's same
the mean squares for the between groups = SSB/dfB = 68331
the mean squares for the within groups = SSW/dfW = 6518.167 (dfW = dfT-dfB)
the calculated value of the F test statistic = MSB/MSW = 10.48316
Conclusion:
F stat > F critical, Reject H0
Therefore, there is enough evidence to conclude that there is a difference in the average life of glasses produced by the manufacturers.
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