In: Statistics and Probability
TABLE 12-11 The director of admissions at a state college is interested in seeing if admissions status (admitted, waiting list, denied admission) at his college is independent of the type of community in which an applicant resides. He takes a sample of recent admissions decisions and forms the following table:
Admitted Wait
ADMITTED | WAIT LIST | DENIED | TOTAL | |
URBAN | 45 | 21 | 17 | 83 |
RURAL | 33 | 13 | 24 | 70 |
SUBURBAN | 34 | 12 | 39 | 85 |
TOTAL | 112 | 46 | 80 | 238 |
He will use this table to do a chi-square test of independence with a level of significance of 0.01.
Referring to Table 12-11, the value of the test statistic is
Observed Frequencies | ||||
Admitted | Wait List | Denied | Total | |
Urban | 45 | 21 | 17 | 83 |
Rural | 33 | 13 | 24 | 70 |
Suburban | 34 | 12 | 39 | 85 |
Total | 112 | 46 | 80 | 238 |
Expected Frequencies | ||||
Admitted | Wait List | Denied | Total | |
Urban | 112 * 83 / 238 = 39.0588 | 46 * 83 / 238 = 16.042 | 80 * 83 / 238 = 27.8992 | 83 |
Rural | 112 * 70 / 238 = 32.9412 | 46 * 70 / 238 = 13.5294 | 80 * 70 / 238 = 23.5294 | 70 |
Suburban | 112 * 85 / 238 = 40 | 46 * 85 / 238 = 16.4286 | 80 * 85 / 238 = 28.5714 | 85 |
Total | 112 | 46 | 80 | 238 |
(fo-fe)²/fe | ||||
Urban | (45 - 39.0588)²/39.0588 = 0.9037 | (21 - 16.042)²/16.042 = 1.5323 | (17 - 27.8992)²/27.8992 = 4.2579 | |
Rural | (33 - 32.9412)²/32.9412 = 0.0001 | (13 - 13.5294)²/13.5294 = 0.0207 | (24 - 23.5294)²/23.5294 = 0.0094 | |
Suburban | (34 - 40)²/40 = 0.9 | (12 - 16.4286)²/16.4286 = 1.1938 | (39 - 28.5714)²/28.5714 = 3.8064 |
Null and Alternative hypothesis:
Ho: Factors are independent.
H1: Factor are dependent.
Test statistic:
χ² = ∑ ((fo-fe)²/fe) = 12.6244
df = (r-1)(c-1) = 4
Critical value:
χ²α = CHISQ.INV.RT(0.01, 4) = 13.2767
p-value:
p-value = CHISQ.DIST.RT(12.6244, 4) = 0.0133
Decision:
p-value > α, Do not reject the null hypothesis.