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 recent national survey 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 a. 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. b. Compute the value of chi-square. (Round your answer to 2 decimal places.)
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 recent national survey 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 | ||
a. 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.
b. Compute the value of chi-square. (Round your answer to 2 decimal places.)
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