In: Statistics and Probability
3) Consider the following hypothetical data which explores whether educational attainment influences divorce.
Highest Degree |
|||||
Ever Been Divorced |
<High School |
High School |
Junior College |
Bachelors Degree |
Graduate Degree |
Yes |
107 |
362 |
55 |
89 |
52 |
No |
285 |
867 |
149 |
374 |
195 |
3a) State your null and alternative hypotheses.
3b) Use the data above to construct a bivariate table by hand with cells containing the appropriate percentages for each cell.
3c) Using the method of comparing percentage differences, what can you conclude about these data?
3a) H0: The educational attainment is not influences
divorce
H1: The educational attainment is influences divorce
Let the los be alpha = 5%
3b)
The expected frequencies are
Ever Been Divorced | < High | High | Junior | Bachelors | Graduate | Total |
Yes | 102.832 | 322.4 | 53.515 | 121.4576 | 64.79487 | 664.9995 |
No | 289.168 | 906.6 | 150.485 | 341.5424 | 182.2051 | 1870.001 |
Total | 392 | 1229 | 204 | 463 | 247 | 2535 |
3c) The chisquare contribution values are
Oi | Ei | (Oi-Ei)^2 /Ei |
107 | 102.832 | 0.1689 |
362 | 322.4 | 4.864 |
55 | 53.515 | 0.0412 |
89 | 121.4576 | 8.6738 |
52 | 64.79487 | 2.5266 |
285 | 289.168 | 0.0601 |
867 | 906.6 | 1.7297 |
149 | 150.485 | 0.0147 |
374 | 341.5424 | 3.0845 |
195 | 182.2051 | 0.8985 |
Total: | 22.062 |
Degrees of freedom: 4
Test Statistic, X^2: 22.0618
Critical X^2: 9.48772
P-Value: 0.0002
Here Chisquare value > Chisquare critical value and P-value < alpha 0.05 so we reject H0
Thus we conclude that the educational attainment is influences divorce