Calculate percentages for the following table. A prior Gamma analysis has indicated that the relationship is significant (p-value <0.05). Use these percentages to assess the strength (using the maximum difference method) and direction of this relationship.
FAMILY INCOME AND HAPPINESS (2004 GSS DATA) |
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Happiness |
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Family Income |
Not too happy |
Pretty happy |
Very Happy |
Total |
Below Average |
16 |
36 |
15 |
67 |
Average |
11 |
36 |
21 |
68 |
Above Average |
2 |
12 |
8 |
22 |
Total |
29 |
84 |
44 |
157 |
Write a very short essay describing the relationship between these two variables.
The percentages are:
Not too happy | Pretty happy | Very Happy | Total | ||
Below Average | Observed | 16 | 36 | 15 | 67 |
% of total | 10.2% | 22.9% | 9.6% | 42.7% | |
Average | Observed | 11 | 36 | 21 | 68 |
% of total | 7.0% | 22.9% | 13.4% | 43.3% | |
Above Average | Observed | 2 | 12 | 8 | 22 |
% of total | 1.3% | 7.6% | 5.1% | 14.0% | |
Total | Observed | 29 | 84 | 44 | 157 |
% of total | 18.5% | 53.5% | 28.0% | 100.0% |
There is a strong relationship between those who have an average family income and are pretty happy.
There is a weak relationship between those who have above average family income and are not happy.
Thus, we can say that there is a relationship between family income and happiness.
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