The dean of a large university wants to determine whether there is a connection between academic rank and a faculty member’s opinion concerning a proposed curriculum change. Interviewing a sample of...


The dean of a large university wants to determine whether there is a connection between academic rank and a faculty
member’s opinion concerning a proposed curriculum change. Interviewing a sample of 80 instructors, 140 assistant professors,
100 associate professors, and 80 professors, he obtains the results shown in the following table:




Compute for the Chi-Square Test, use the 0.01 level of significance to test the null hypothesis that there are really no
differences in opinion concerning the curriculum change among the four groups


Assistant Associate<br>Instructor Professor Professor<br>Professor<br>Against 8<br>Indifferent 40<br>For<br>19<br>15<br>12<br>41<br>24<br>16<br>32<br>80<br>61<br>52<br>

Extracted text: Assistant Associate Instructor Professor Professor Professor Against 8 Indifferent 40 For 19 15 12 41 24 16 32 80 61 52

Jun 09, 2022
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