A new school district superintendent was preparing to reallo
A new school district superintendent was preparing to reallocate resources for physically impaired students. He wanted to know if the schools in his district differed in the distribution of physically impaired students. He tested samples of 20 students from each of his five schools. He found the following:
School 1: 4 impaired and 16 unimpaired students
School 2: 1 impaired and 19 unimpaired students
School 3: 6 impaired and 14 unimpaired students
School 4: 3 impaired and 17 unimpaired students
School 5: 7 impaired and 13 unimpaired students
a) Conduct a Chi-Square Test for Independence to determine if
Solution
udents from each of his five schools. He found the following:
School 1: 4 impaired and 16 unimpaired students
School 2: 1 impaired and 19 unimpaired students
School 3: 6 impaired and 14 unimpaired students
School 4: 3 impaired and 17 unimpaired students
School 5: 7 impaired and 13 unimpaired students
Con1
4
1
6
3
7
21
Con2
16
19
14
17
13
79
20
20
20
20
20
100
Chi-square: 6.872
degrees of freedom =4
p-value=0.14280904
reject null hypotheis and acept alternative
| Con1 | 4 | 1 | 6 | 3 | 7 | 21 |
| Con2 | 16 | 19 | 14 | 17 | 13 | 79 |
| 20 | 20 | 20 | 20 | 20 | 100 |

