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In this part you will be considering four different scenarios to which one-way ANOVA has been applied. Four StatTools one-Way ANOVA summary tables for these scenarios are supplied for you. One of the scenarios is not legitimate for using One-way ANOVA. Your task is to match the scenarios with the summary tables and to identify the result that is not reliable. You must explain why the particular ANOVA summary table belongs with the scenario you chose, and why the one result is not reliable.
Each scenario involves randomly selecting ni observations from four, independent, Normal populations as described.
Scenario
1
2
3
4
Population
ni
N(50, 4)
10
N(50, 7)
N(60, 4)
8
N(60, 7)
12
N(40, 4)
N(40, 7)
One-way ANOVA
Sum of Squares
Degrees of Freedom
Mean Squares
F-Ratio
p-Value
Between Variation
275.642
91.881
1.703
0.1836
Within Variation
1941.911
36
53.942
Total Variation
2217.553
39
OneWay ANOVA
1806.075
602.025
25.368
< 0.0001
854.330
23.731
2660.405
1648.282
549.427
35.771
552.941
15.359
2201.223
22.091
7.364
0.389
0.7617
681.733
18.937
703.824
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LINEAR PROGRAMMING MODELS
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