The city Personnel Department is revising its training manual for supervisory personnel. They believe that it may be important to encourage supervisors to be more supportive of their workers in order to increase productivity. In order to test this belief, they take a random sample of 150 workers and classify them according to two variables: whether they consider their supervisor supportive or non-supportive, and whether an objective test indicates that the worker's productivity is below average, average, or above average. These data are cross-tabulated below.
Productivity |
Type of Supervisor |
|
Non-Supportive |
Supportive |
|
Below Average |
15 |
20 |
Average |
20 |
30 |
Above Average |
25 |
40 |
Conduct a chi-square test for the relationship between these variables. Is there support for the Department's belief?
H0: Productivity and Type of Supervisor are independent.
H1: Productivity and Type of Supervisor are not independent.
(since P-value is large)
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