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A researcher is interested to learn if there is a relationship between the level

ID: 3203895 • Letter: A

Question

A researcher is interested to learn if there is a relationship between the level of interaction a women in her 20s has with her mother and her life satisfaction ranking. Below is a list of women who fit into each of four level of interaction. Conduct a One-Way ANOVA on the data to determine if a relationship exists.

No Interaction

Low Interaction

Moderate Interaction

High Interaction

2

3

3

9

4

3

10

10

4

5

2

8

4

1

1

5

7

2

2

8

8

2

3

4

1

7

10

9

1

8

8

4

8

6

4

1

4

5

3

8

No Interaction

Low Interaction

Moderate Interaction

High Interaction

2

3

3

9

4

3

10

10

4

5

2

8

4

1

1

5

7

2

2

8

8

2

3

4

1

7

10

9

1

8

8

4

8

6

4

1

4

5

3

8

Explanation / Answer

To calculate One-way anova we see the anova table

ANOVA Table for One-Way Analysis of Variance

Source

Sum of Squares

Df

Mean Square

F-Ratio

P-Value

Between groups

SSR

k - 1

MSR = SSR/(k-1)

F = MSR/MSE

Within groups

SSE

n - k

MSE = SSE/(n-k)

Total (Corr.)

SST

n - 1

We now calculate Treatment means for given 4 treatmeants. Ler us take these to be A(No Interaction), B(Low Interaction), C(Moderate Interaction) and D(High Interaction)

Thus we calculate treatment means which come out to be

Mean(A)=4.3

Mean(B)=4.2

Mean(C)=4.6

Mean(D)=6.6

And overall mean

u=4.92

The estimated effects Ai are the difference between the ”estimated treatment mean” and the ”estimated overall mean”, i.e. Ai = Meani u

Thus

A1=-0.62 A2=-0.72 A3=-0.32 A4=1.68

Now we calculate degrees of freedom

We have 4 different Treatments dftreat = 4 1 = 3

We have 10 different measurements dftot = 10 1 = 9

dftreat + dfres = dftot dfres = 9 3 = 6

To calculate SS

SStreat = ”sum of squares between treatment groups” = XAi^2*measures = 38.275

SSres = ”sum of squares within treatment groups”= 292.5

SStot = ”Total sum of squares” = 330.775

For the column MS (mean square) just remember the rule MS = SS/df, then:

MStreat = SStreat/dftreat = 12.7583

MSres = SSres/dfres = 8.125

Putting all this in anova table we calculate F value

F = MStreat/MSres =1.57026

The F-ratio value is 1.57026. The p-value is .213434. The result is not significant at p < .05.

Source

Sum of Squares

Df

Mean Square

F-Ratio

P-Value

Between groups

SSR

k - 1

MSR = SSR/(k-1)

F = MSR/MSE

Within groups

SSE

n - k

MSE = SSE/(n-k)

Total (Corr.)

SST

n - 1

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