Hypothesis test using one-way anova

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Reference no: EM1318043

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

Population

ni

Population

ni

Population

ni

N(50, 4)

10

N(50, 4)

10

N(50, 7)

10

N(50, 4)

10

N(50, 4)

10

N(60, 4)

8

N(50, 7)

10

N(60, 7)

10

N(50, 4)

10

N(50, 4)

12

N(50, 7)

10

N(50, 4)

10

N(50, 4)

10

N(40, 4)

10

N(50, 7)

10

N(40, 7)

10

 

One-way ANOVA

Sum of Squares

Degrees of Freedom

Mean Squares

F-Ratio

p-Value

Between Variation

275.642

3

91.881

1.703

0.1836

Within Variation

1941.911

36

53.942

 

 

Total Variation

2217.553

39

 

 

 

 

OneWay ANOVA

Sum of Squares

Degrees of Freedom

Mean Squares

F-Ratio

p-Value

Between Variation

1806.075

3

602.025

25.368

< 0.0001

Within Variation

854.330

36

23.731

 

 

Total Variation

2660.405

39

 

 

 

 

One-way ANOVA

Sum of Squares

Degrees of Freedom

Mean Squares

F-Ratio

p-Value

Between Variation

1648.282

3

549.427

35.771

< 0.0001

Within Variation

552.941

36

15.359

 

 

Total Variation

2201.223

39

 

 

 

 

One-way ANOVA

Sum of Squares

Degrees of Freedom

Mean Squares

F-Ratio

p-Value

Between Variation

22.091

3

7.364

0.389

0.7617

Within Variation

681.733

36

18.937

 

 

Total Variation

703.824

39

 

 

 

Reference no: EM1318043

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