Question

In: Statistics and Probability

Chi Square Test of Independence A vehicle quality survey asked new owners a variety of questions...

Chi Square Test of Independence A vehicle quality survey asked new owners a variety of questions about their recently purchased cars. One questions asked for the owner’s rating of the vehicle using categorical responses of average, outstanding, and exceptional. Another question asked for the owner’s education level with the categorical responses some high school, high school graduate, college graduate, and university graduate. Assume the sample data below are for 500 owners who had recently purchased a car.

Education

Quality Rating

Some HS

HS Grad

College Grad

University Grad

Average

35

30

20

60

Outstanding

45

45

50

90

Exceptional

20

25

30

50

a. Compute the value of x2 for a test of independence.

b. Use a 0.05 level of significance and a test of independence to determine if a new owner’s vehicle quality rating is independent of the owner’s education?

c. What is the p-value and what is your conclusion?

d. Use the overall percentage of average, outstanding and exceptional ratings to comment upon how new owners rate the quality of their recently purchased cars.

Solutions

Expert Solution

a)

Observed Frequencies
Education
Quality Rating Some HS HS Grad College Grad University Grad Total
Average 35 30 20 60 145
Outstanding 45 45 50 90 230
Exceptional 20 25 30 50 125
Total 100 100 100 200 500
Expected Frequencies
Education
Quality Rating Some HS HS Grad College Grad University Grad Total
Average 29 29 29 58 145
Outstanding 46 46 46 92 230
Exceptional 25 25 25 50 125
Total 100 100 100 200 500
(fo-fe)^2/fe
1.241379 0.034483 2.793103 0.068966
0.021739 0.021739 0.347826 0.043478
1 0 1 0

chisq = sum(Oi-Ei)^2/Ei = 6.5727

b)

ho: new owner’s vehicle quality rating is independent of the owner’s education
h1: new owner’s vehicle quality rating is independent of the owner’s education
chisq = 6.572713643
df = (R-1)*(c-1) = 6
critical value = chisq(a,df) = chisq(0.05,6) = 12.59158724
Since, chisq < chisq(a,df), i fail to reject ho and conclude that new owner’s vehicle quality rating is independent of the owner’s education

c)
p-Value   0.362173771
Since p>5%, i fail to reject ho and conclude that new owner’s vehicle quality rating is independent of the owner’s education.

d)

Quality Rating overall %
Average 29% 145/500
Outstanding 46% 230/500
Exceptional 25% 125/500

46% of the people gave a outstanding rating ; 29% of the people give average rating; and 25% of the people give exceptional rating.

Hence I can say that new owners rate the quality of the recent car for change as mostly outstanding rating


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