In: Statistics and Probability
4. Assume that the Graduation Rate is classified into 3 categories (Low, Medium, High) in the following way:
Low is considered to be a rate that is less than 0.66,
Medium is between 0.66 and less than 0.80, and
High is at least 0.80.
Assume that the Student-to-Faculty ratio is also classified into 3 categories:
Category 1: Up to 10 student-to-faculty ratio,
Category 2: between 11 and 18 student-to-faculty ratio
Category 3: greater than 18 student-to-faculty ratio
The following contingency table summarizes the categorized information :
| 
 Graduation Rate  | 
 Student-to-Faculty Ratio  | 
|||
| 
 Category1 (≤10)  | 
 Category2 (between 11 and 18)  | 
 Category3 ( > 18)  | 
 Σ  | 
|
| 
 Low (< 0.66)  | 
 9  | 
 77  | 
 27  | 
 113  | 
| 
 Medium (≥0.66 and < 0.80)  | 
 21  | 
 20  | 
 2  | 
 43  | 
| 
 High (≥0.80)  | 
 26  | 
 10  | 
 0  | 
 36  | 
| 
 Σ  | 
 56  | 
 107  | 
 29  | 
 192  | 
Using these defined categories, determine if the student-to-faculty ratio is independent of the graduation rate. Test this at a 0.05 level of significance.
What is your conclusion?