To test whether the significant difference between two proportion test using large sample test.

Many elementary school students in a school district currently have ear infections. A random sample of children in two different schools found that 16 of 42 at one school and 21 of 36 at the other had this infection. At the .05 level of significance, is there sufficient evidence to conclude that the difference exists between the proportion of students who have ear infections at one school and the other?

1. No, there is not sufficient information to reject the hypothesis that the proportions of students at the two schools who have ear infections are the same because the test value -1.78 is inside the acceptance region (-1.96,1.96).

2. Yes, there is sufficient information to reject hypothesis that the proportions of students at the two schools who have ear infections are the same because the test value -2.34 is outside the acceptance region (-1.96,1.96).

3. Yes, there is sufficient information to reject hypothesis that the proportions of students at the two schools who have ear infections are the same because the test value -8.76 is outside the acceptance region (-1.96,1.96).

4. Yes, there is sufficient information to reject hypothesis that the proportions of students at the two schools who have ear infections are the same because the test value -15.73 is outside the acceptance region (-1.96,1.96).