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John Isaac Inc., a designer and installer of industrial signs, employs 60 people. The company recorded the type of the most recent visit to a doctor by each employee. A national assessment conducted in 2014 found that 53% of all physician visits were to primary care physicians, 19% to medical specialists, 17% to surgical specialists and 11% to emergency departments. Test at the 0.01 significance level if Isaac employees differ significantly from the survey distribution. Here are their results:
| Visit Type |
Number of Visits |
| Primary care |
|
29 |
|
| Medical specialist |
|
11 |
|
| Surgical specialist |
|
16 |
|
| Emergency |
|
4 |
|
|
| State the decision rule. Use 0.01 significance level. (Round your answer to 3 decimal places.) |
| H0: The employee visits do not differ from the survey distribution.. |
| H1: The employee visits differ from the survey distribution. |
Reject H0 if  2 >________ |
|
| Compute the value of chi-square. (Round your answer to 2 decimal places.) |
 2 = ________ |
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