In: Statistics and Probability
The following data represent the level of health and the level of education for a random sample of 1815 residents. |
Education |
Excellent |
Good |
Fair |
Poor |
|
---|---|---|---|---|---|---|
Not a H.S. graduate |
105 |
148 |
105 |
116 |
||
H.S. graduate |
118 |
129 |
110 |
119 |
||
Some college |
116 |
146 |
117 |
124 |
||
Bachelor Degree or higher |
68 |
142 |
59 |
93 |
Make the proper conclusion. Choose the correct answer below.
A. Fail to reject H0. There is sufficient evidence that level of education and health are associated.
B. Reject H0. There is not sufficient evidence that level of education and health are associated.
C. Fail to reject H0. There is not sufficient evidence that level of education and health are associated.
D. Reject H0. There is sufficient evidence that level of education and health are associated.
Claim: There is an association between level of education and health.
The null and alternative hypothesis is
H0: There is no association between level of education and health.
H1: There is an association between level of education and health.
Level of significance = 0.05
Test statistic is
O: Observed frequency
E: Expected frequency.
E = ( Row total*Column total) / Grand total
Excellent | Good | Fair | Poor | Total | |
105 | 148 | 105 | 116 | 474 | |
118 | 129 | 110 | 119 | 476 | |
116 | 146 | 117 | 124 | 503 | |
68 | 142 | 59 | 93 | 362 | |
Total | 407 | 565 | 391 | 452 | 1815 |
O | E | (O-E) | (O-E)^2 | (O-E)^2/E |
105 | 106.2909 | -1.29091 | 1.666446 | 0.015678 |
148 | 147.5537 | 0.446281 | 0.199167 | 0.00135 |
105 | 102.1124 | 2.887603 | 8.338253 | 0.081658 |
116 | 118.043 | -2.04298 | 4.173748 | 0.035358 |
118 | 106.7394 | 11.26061 | 126.8012 | 1.187952 |
129 | 148.1763 | -19.1763 | 367.7308 | 2.481711 |
110 | 102.5433 | 7.456749 | 55.60311 | 0.542241 |
119 | 118.541 | 0.458953 | 0.210638 | 0.001777 |
116 | 112.7939 | 3.206061 | 10.27882 | 0.091129 |
146 | 156.5813 | -10.5813 | 111.9632 | 0.715049 |
117 | 108.3598 | 8.64022 | 74.65341 | 0.68894 |
124 | 125.265 | -1.26501 | 1.60026 | 0.012775 |
68 | 81.17576 | -13.1758 | 173.6006 | 2.138577 |
142 | 112.6887 | 29.31129 | 859.152 | 7.624118 |
59 | 77.98457 | -18.9846 | 360.414 | 4.621607 |
93 | 90.15096 | 2.849036 | 8.117005 | 0.090038 |
Total | 20.330 |
Degrees of freedom = ( Number of rows - 1 ) * ( Number of column
- 1) = ( 4 - 1) * (4 - 1) = 3 * 3 = 9
Level of significance = 0.05
Critical value = 16.919
( From chi-square table)
Test statistic > critical value we reject null hypothesis.
Conclusion:
D. Reject H0. There is sufficient evidence that level of education and health are associated.