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

A new school district superintendent was preparing to reallocate resources for physically impaired students. He wanted to know if the schools in his district di
A new school district superintendent was preparing to reallocate resources for physically impaired students. He wanted to know if the schools in his district di

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