In: Statistics and Probability
In an effort to get a better understanding of the factors affecting a high school student choice of college selection, 600 students were reported to apply for college admission from Sacramento county and they were asked to provide information on SAT scores and parent’s income. Portion of that data is reported in the table below. Use Chi-square test to examine how the categorical variable parent’s income affects the choice of professional degree among those who have applied for admission. Run the Chi square test and answer the three parts.
Income Attribute |
Liberal Arts |
Business Administration |
Law and Engineering |
Total |
<65,000 |
67 |
38 |
55 |
160 |
65,001-90,000 |
35 |
88 |
67 |
190 |
90,001> |
33 |
177 |
40 |
250 |
Total |
135 |
303 |
162 |
600 |
Income | University Choice | Count |
less than 65000 | CSU Sacramento | 67 |
65001 to 90,000 | CSU Sacramento | 35 |
90001 and above | CSU Sacramento | 33 |
less than 65000 | UC Davis | 38 |
65001 to 90,000 | UC Davis | 88 |
90001 and above | UC Davis | 177 |
less than 65000 | San Francisco Univ | 55 |
65001 to 90,000 | San Francisco Univ | 67 |
90001 and above | San Francisco Univ | 40 |
Observed Frequencies | ||||
Liberals arts | Business adm. | Law & Eng. | Total | |
<65000 | 67 | 38 | 55 | 160 |
65001-90000 | 35 | 88 | 67 | 190 |
90001> | 33 | 177 | 40 | 250 |
Total | 135 | 303 | 162 | 600 |
Expected Frequencies | ||||
Liberals arts | Business adm. | Law & Eng. | Total | |
<65000 | 135 * 160 / 600 = 36 | 303 * 160 / 600 = 80.8 | 162 * 160 / 600 = 43.2 | 160 |
65001-90000 | 135 * 190 / 600 = 42.75 | 303 * 190 / 600 = 95.95 | 162 * 190 / 600 = 51.3 | 190 |
90001> | 135 * 250 / 600 = 56.25 | 303 * 250 / 600 = 126.25 | 162 * 250 / 600 = 67.5 | 250 |
Total | 135 | 303 | 162 | 600 |
(fo-fe)²/fe | ||||
<65000 | (67 - 36)²/36 = 26.6944 | (38 - 80.8)²/80.8 = 22.6713 | (55 - 43.2)²/43.2 = 3.2231 | |
65001-90000 | (35 - 42.75)²/42.75 = 1.405 | (88 - 95.95)²/95.95 = 0.6587 | (67 - 51.3)²/51.3 = 4.8049 | |
90001> | (33 - 56.25)²/56.25 = 9.61 | (177 - 126.25)²/126.25 = 20.4005 | (40 - 67.5)²/67.5 = 11.2037 |
a) Null and Alternative hypothesis:
Ho: Parent's income does not affect the choice of professional degree.
H1: Parent's income does affect the choice of professional degree.
b) Test statistic:
χ² = ∑ ((fo-fe)²/fe) = 100.6716
df = (r-1)(c-1) = 4
p-value = CHISQ.DIST.RT(100.6716, 4) = 0.000
c) Decision:
p-value < 0.05, Reject the null hypothesis.
There is enough evidence to conclude that Parent's income does affect the choice of professional degree.