Question

In: Statistics and Probability

In an effort to get a better understanding of the factors affecting a high school student...

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

  1. Write the null and alternative hypothesis
  2. Determine the P value and provide its interpretation
  3. What is your conclusion after running the Chi square test?
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

Solutions

Expert Solution

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.


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