In: Statistics and Probability
Level of Education |
||||
High School |
Bachelor |
Graduate |
Total |
|
Public Broadcasting |
110 |
190 |
100 |
400 |
Commercial Stations |
80 |
220 |
100 |
400 |
Total |
190 |
410 |
200 |
800 |
Level of Education |
||||
High School |
Bachelor |
Graduate |
Total |
|
Public Broadcasting |
400 |
|||
Commercial Stations |
400 |
|||
Total |
190 |
410 |
200 |
800 |
Test at a = .05 to determine if the selection of a TV station is dependent upon the level of education.
a)
degree of freedom(df) =(rows-1)*(columns-1)=(2-1)*(3-1) = | 2 |
b)
Expected | Ei=row total*column total/grand total | High School | Bachelor | Graduate | Total |
Public Broadcasting | 95.000 | 205.000 | 100.000 | 400 | |
Commerical Stations | 95.000 | 205.000 | 100.000 | 400 | |
total | 190 | 410 | 200 | 800 |
c)
Applying chi square test of independence: |
chi square χ2 | =(Oi-Ei)2/Ei | High School | Bachelor | Graduate | Total |
Public Broadcasting | 2.368 | 1.098 | 0.000 | 3.4660 | |
Commerical Stations | 2.368 | 1.098 | 0.000 | 3.4660 | |
total | 4.7368 | 2.1951 | 0.0000 | 6.9320 | |
test statistic X2 = | 6.9320 |
d)
for 2 df and 0.05 level , critical value χ2= | 5.991 |
since test statistic falls in rejection region we reject null hypothesis | |||
we have sufficient evidence to conclude that selection of a TV station is dependent upon the level of education. |