In: Statistics and Probability
Data: Life satisfaction among sport coaches. Drakou, Kambitsis, Charachousou, and Tzetzis (2006) tested differences in life satisfaction among sport coaches. They tested differences by sex, age, marital status, and education. The results of each test in the following table are similar to the way in which the data were given in their article.
Which factors were significant at a .05 level of significance?
State the number of levels for each factor.
Independent Variables |
Life Satisfaction |
||||
M |
SD |
F |
p |
||
Sex |
0.68 |
.409 |
|||
Men |
3.99 |
0.51 |
|||
Women |
3.94 |
0.49 |
|||
Age |
3.04 |
.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 |
.000 |
|||
Single |
3.85 |
0.48 |
|||
Married |
4.10 |
0.50 |
|||
Divorced |
4.00 |
0.35 |
|||
Education |
0.82 |
.536 |
|||
High school |
3.92 |
0.48 |
|||
Postsecondary |
3.85 |
0.54 |
|||
University degree |
4.00 |
0.51 |
|||
Masters |
4.00 |
0.59 |
Answer :- Data: Life satisfaction among sport coaches. Drakou, Kambitsis, Charachousou, and Tzetzis (2006) tested differences in life satisfaction among sport coaches.
a) To check the significance of each factor we use the common Hypothesis for all the factors.
=> Hypothesis :-
• Ho : significant Vs
• H1 : insignificant