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In: Statistics and Probability

(Question 7) Ask Your Teacher Drakou, Kambitsis, Charachousou, and Tzetzis (2006) tested differences in life satisfaction...

(Question 7)

Ask Your Teacher

Drakou, Kambitsis, Charachousou, and Tzetzis (2006) tested differences in life satisfaction among sport coaches. They tested differences by gender, age, marital status, and education. The results of each F-test in the following table are similar to the way in which the data were given in their article.

Independent
Variables
Life Satisfaction
M SD F p
Gender 0.68 0.409
    Men 3.99 0.51
    Women 3.94 0.49
Age 3.04 0.029
    20s 3.85 0.42
    30s 4.03 0.52
    40s 3.97 0.57
    50s 4.02 0.50
Marital status 12.46 0.000
    Single 3.85 0.48
    Married 4.10 0.50
    Divorced 4.00 0.35
Education 0.82 0.536
    High school 3.92 0.48
    Postsecondary 3.85 0.54
    University degree 4.00 0.51
    Masters 4.00 0.59

(a) Which factors were significant at a 0.05 level of significance? (Select all that apply.)

age

marital status

gender

education


(b) State the number of levels for each factor.

gender      levels
age      levels
marital status      levels
education      levels

Solutions

Expert Solution

Answer:-

Given That:-

Drakou, Kambitstis, Charachousou, and Tzetzis (2006) tested differences in life satisfaction among sport coaches. They tested differences by gender, age, marital status, and education. The results of each F-test in the following table are similar to the way in which the data were given in their article.

(a)

Which factors were significant at a 0.05 level of significance

Education

Gender

Age

Martial status

Alpha = 0.05

Gender, P = 0.409

P > 0.05

Not significant at 5% Level of Significance

Marital Status, P = 0.000

P < 0.05

Significant at 5% Level of Significance

Age

P = 0.029

P < 0.05

Significant at 5% level of Significance

Education

P = 0.536

P > 0.05

Not Significant at 5% level of Significance

Age

Marital Status are Significant at 5%

Age

Marital Status

(b)

State the number of Level for each factor

Gender levels
Age levels
Marital Status levels
Education levels

Gender 2 levels

Age 4 levels

Marital Status 3 levels

Education 4 levels


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