In: Statistics and Probability
One football player was tired of teachers and students making comments under the general assumption that student-athletes were less intelligent or inferior students to those not playing sports. To get rid of the “dumb jock” labels, he compared the results on a college readiness assessment of student-athletes and non-athletes. On this particular assessment, a student could receive the following scores: “under-prepared,” “on-track,” or “college-ready.” He recorded the following chart:
Under-Prepared |
College-Ready |
|
Athlete |
88 |
224 |
Non-Athlete |
127 |
300 |
H0: Null Hypothesis: college readiness assessment of student-athletes and non-athletes are independent. (Claim)
H0: Null Hypothesis: college readiness assessment of student-athletes and non-athletes are independent.
Observed Frequencies:
Under prepared | College ready | Total | |
Athlete | 88 | 224 | 312 |
Non-athlete | 127 | 300 | 427 |
Total | 215 | 524 | 739 |
Expected Frequencies:
Under prepared | College ready | Total | |
Athlete | 215X312/739=9.77 | 524X312/739=221.23 | 312 |
Non-athlete | 215X427/739=124.23 | 524X427/739=302.77 | 427 |
Total | 215 | 524 | 739 |
Test Statistic () is got as follows:
Observed (O) | Expected (E) | (O - E)2/E |
88 | 90.77 | 0.08 |
224 | 221.23 | 0.03 |
127 | 124.23 | 0.06 |
300 | 302.77 | 0.03 |
Total = = | 0.21 |
Degrees of Freedom = (r - 1) X (c - 1)= (2 - 1)X (2 - 1) =1
By Technology, p - value = 0.6495
Since p - value = 0.6495 is greater than = 0.05, the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data support the claim that college readiness assessment of
student-athletes and non-athletes are independent.