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The Wall Street Journal Corporate Perceptions Study 2011 surveyed readers and asked how each rated the...

The Wall Street Journal Corporate Perceptions Study 2011 surveyed readers and asked how each rated the quality of management and the reputation of the company for over 250 worldwide corporations. Both the quality of management and the reputation of the company were rated on an excellent, good, and fair categorical scale. Assume the sample data for 200 respondents below applies to this study.

Quality of Management Reputation of Company
Excellent Good Fair
Excellent 40 25 5
Good 35 28 10
Fair 25 17 15

(a)

Use a 0.05 level of significance and test for independence of the quality of management and the reputation of the company.

State the null and alternative hypotheses.

H0: Quality of management is independent of the reputation of the company.
Ha: Quality of management is not independent of the reputation of the company.

H0: Quality of management is not independent of the reputation of the company.
Ha: The proportion of companies with excellent management is not equal across companies with differing reputations.    

H0: Quality of management is not independent of the reputation of the company.
Ha: Quality of management is independent of the reputation of the company.

H0: Quality of management is independent of the reputation of the company.
Ha: The proportion of companies with excellent management is equal across companies with differing reputations.

Find the value of the test statistic. (Round your answer to three decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

State your conclusion.

Do not reject H0. We cannot conclude that the rating for the quality of management is independent of the rating of the reputation of the company.

Reject H0. We conclude that the rating for the quality of management is independent of the rating for the reputation of the company.    

Do not reject H0. We cannot conclude that the ratings for the quality of management and the reputation of the company are not independent.

Reject H0. We conclude that the rating for the quality of management is not independent of the rating for the reputation of the company.

(b)

If there is a dependence or association between the two ratings, discuss and use probabilities to justify your answer.

For companies with an excellent reputation, the largest column probability corresponds to  ---Select--- ( options: excellent, good, fair) management quality. For companies with a good reputation, the largest column probability corresponds to  ---Select--- (options: excellent, good, fair) management quality. For companies with a fair reputation, the largest column probability corresponds to  ---Select--- (options: excellent, good, fair) management quality. Since these highest probabilities correspond to  ---Select--- (options: different, the same) ratings of quality of management and reputation, the two ratings are  ---Select--- (options: independent, associated .)

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Answer #1

a)

H0: Quality of management is independent of the reputation of the company.
Ha: Quality of management is not independent of the reputation of the company.

b)

Applying chi square test of independence:
Expected Ei=row total*column total/grand total excellent good fair Total
excellent 35.00 24.50 10.50 70
good 36.50 25.55 10.95 73
Fair 28.50 19.95 8.55 57
total 100 70 30 200
chi square    χ2 =(Oi-Ei)2/Ei excellent good fair Total
excellent 0.7143 0.0102 2.8810 3.6054
good 0.0616 0.2349 0.0824 0.3790
Fair 0.4298 0.4362 4.8658 5.7318
total 1.2058 0.6814 7.8292 9.7163
test statistic X2 = 9.716
p value = 0.0455

Reject H0. We conclude that the rating for the quality of management is not independent of the rating for the reputation of the company.

For companies with an excellent reputation, the largest column probability corresponds to  excellent

For companies with a good reputation, the largest column probability corresponds to good

For companies with a fair reputation, the largest column probability corresponds to fair

the two ratings are associated .

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